CRAN Package Check Results for Package Cyclops

Last updated on 2020-04-09 09:48:06 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0.2 210.08 90.76 300.84 ERROR
r-devel-linux-x86_64-debian-gcc 2.0.2 153.22 71.22 224.44 ERROR
r-devel-linux-x86_64-fedora-clang 2.0.2 440.63 ERROR
r-devel-linux-x86_64-fedora-gcc 2.0.2 412.79 ERROR
r-devel-windows-ix86+x86_64 2.0.2 357.00 154.00 511.00 ERROR
r-devel-windows-ix86+x86_64-gcc8 2.0.2 362.00 154.00 516.00 ERROR
r-patched-linux-x86_64 2.0.2 167.03 87.41 254.44 ERROR
r-patched-osx-x86_64 2.0.2 ERROR
r-patched-solaris-x86 2.0.2 383.70 ERROR
r-release-linux-x86_64 2.0.2 169.02 81.41 250.43 OK
r-release-windows-ix86+x86_64 2.0.2 408.00 204.00 612.00 OK
r-release-osx-x86_64 2.0.2 NOTE
r-oldrel-windows-ix86+x86_64 2.0.2 499.00 196.00 695.00 OK
r-oldrel-osx-x86_64 2.0.2 NOTE

Check Details

Version: 2.0.2
Check: tests
Result: ERROR
     Running 'testthat.R' [17s/19s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -578.668
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -573.942
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -590.902
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.175
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -587.057
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.432
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -577.729
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -611.017
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -594.266
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -594.057
     AvgPred = -588.324 with stdev = 10.7386
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -579.005
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -573.501
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -593.578
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -583.972
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -589.141
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -598.568
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -579.41
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -611.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -595.563
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -596.237
     AvgPred = -590.035 with stdev = 10.7482
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -579.265
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -575.14
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -588.558
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -574.136
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -588.009
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -595.77
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -576.398
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -612.9
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -594.761
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -591.299
     AvgPred = -587.624 with stdev = 11.421
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -584.521
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -578.463
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -592.864
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -581.751
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -596.902
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -604.67
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -581.532
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -619.348
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -598.041
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -593.315
     AvgPred = -593.141 with stdev = 11.8836
     Completed at 0.001
     Next point at 0.0549544 with value -587.448 and continue = 0
     search[ 0.001 ] = -593.141(11.8836)
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
    
     Maximum predicted log likelihood (-587.448) estimated at:
     0.0549544 (variance)
     6.03273 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(6.03273) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1586278237] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -2.77056
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -7.52074
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -9.40993
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -5.31322
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -4.84215
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -2.95363
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -15.8476
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.5005 with stdev = 4.96511
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.5005(4.96511)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -3.50399
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -9.66602
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -9.85812
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -5.39944
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -4.90175
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -16.7877
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -3.10645
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -15.784
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.12153 with stdev = 5.42583
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.5005(4.96511)
     search[ 3.33333 ] = -7.12153(5.42583)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -2.38933
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -8.2011
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -5.03781
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -8.56408
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -2.83787
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.714 with stdev = 4.63275
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.714(4.63275)
     search[ 0.333333 ] = -6.5005(4.96511)
     search[ 3.33333 ] = -7.12153(5.42583)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -2.40093
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -5.61865
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.7731 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00422233 with value -5.71924 and continue = 0
     search[ 0.00333333 ] = -5.7731(4.9802)
     search[ 0.0333333 ] = -5.714(4.63275)
     search[ 0.333333 ] = -6.5005(4.96511)
     search[ 3.33333 ] = -7.12153(5.42583)
    
    
     Maximum predicted log likelihood (-5.71924) estimated at:
     0.00422233 (variance)
     21.764 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.764) None
     -- 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) -----------
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     -- 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) -----------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) -----------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ---------------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ---------------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ---------------
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     == testthat results ===========================================================
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 2.0.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [12s/19s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -578.668
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -573.942
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -590.902
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.175
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -587.057
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.432
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -577.729
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -611.017
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -594.266
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -594.057
     AvgPred = -588.324 with stdev = 10.7386
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -579.005
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -573.501
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -593.578
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -583.972
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -589.141
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -598.568
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -579.41
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -611.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -595.563
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -596.237
     AvgPred = -590.035 with stdev = 10.7482
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -579.265
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -575.14
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -588.558
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -574.136
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -588.009
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -595.77
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -576.398
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -612.9
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -594.761
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -591.299
     AvgPred = -587.624 with stdev = 11.421
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -584.521
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -578.463
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -592.864
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -581.751
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -596.902
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -604.67
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -581.532
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -619.348
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -598.041
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -593.315
     AvgPred = -593.141 with stdev = 11.8836
     Completed at 0.001
     Next point at 0.0549544 with value -587.448 and continue = 0
     search[ 0.001 ] = -593.141(11.8836)
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
    
     Maximum predicted log likelihood (-587.448) estimated at:
     0.0549544 (variance)
     6.03273 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(6.03273) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1586359459] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -2.77056
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -5.31322
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -2.95369
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -4.84229
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -9.40993
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -7.51895
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -15.8475
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.50033 with stdev = 4.96505
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50033(4.96505)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -3.50399
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -5.39945
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -3.1064
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -16.7876
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -4.90174
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -9.85815
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -9.66591
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -15.7629
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.1194 with stdev = 5.42246
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50033(4.96505)
     search[ 3.33333 ] = -7.1194(5.42246)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -2.38933
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -2.83786
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -8.56491
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -5.03779
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -8.2011
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.71408 with stdev = 4.6328
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.71408(4.6328)
     search[ 0.333333 ] = -6.50033(4.96505)
     search[ 3.33333 ] = -7.1194(5.42246)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -2.40093
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -3.17614
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -2.43581
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -5.61869
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.77311 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00420099 with value -5.71926 and continue = 0
     search[ 0.00333333 ] = -5.77311(4.9802)
     search[ 0.0333333 ] = -5.71408(4.6328)
     search[ 0.333333 ] = -6.50033(4.96505)
     search[ 3.33333 ] = -7.1194(5.42246)
    
    
     Maximum predicted log likelihood (-5.71926) estimated at:
     0.00420099 (variance)
     21.8192 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.8192) None
     ── 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) ───────────
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     ── 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) ───────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) ───────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ───────────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ───────────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ───────────────
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.0.2
Check: package dependencies
Result: WARN
    Requires orphaned package: ‘bit’
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.0.2
Check: installed package size
Result: NOTE
     installed size is 27.0Mb
     sub-directories of 1Mb or more:
     libs 26.2Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64-gcc8, r-patched-osx-x86_64, r-patched-solaris-x86, r-release-osx-x86_64, r-oldrel-osx-x86_64

Version: 2.0.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [18s/23s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -592.9
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -601.081
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -599.641
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -574.165
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -603.109
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -577.038
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -579.617
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -574.139
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -585.025
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -594.685
     AvgPred = -588.14 with stdev = 10.8916
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.14(10.8916)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -594.279
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -601.346
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -603.591
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -578.205
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -603.804
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -577.407
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -581.721
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -578.157
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -586.404
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -597.769
     AvgPred = -590.268 with stdev = 10.4946
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.14(10.8916)
     search[ 1 ] = -590.268(10.4946)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -592.323
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -604.374
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -596.081
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -572.406
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -603.71
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -577.372
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -577.208
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -572.442
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -585.33
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -594.139
     AvgPred = -587.538 with stdev = 11.6458
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.538(11.6458)
     search[ 0.1 ] = -588.14(10.8916)
     search[ 1 ] = -590.268(10.4946)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -596.137
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -613.325
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -601.605
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -577.932
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -605.861
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -584.422
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -581.158
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -579.934
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -590.138
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -600.442
     AvgPred = -593.096 with stdev = 11.565
     Completed at 0.001
     Next point at 0.0510146 with value -587.304 and continue = 0
     search[ 0.001 ] = -593.096(11.565)
     search[ 0.01 ] = -587.538(11.6458)
     search[ 0.1 ] = -588.14(10.8916)
     search[ 1 ] = -590.268(10.4946)
    
    
     Maximum predicted log likelihood (-587.304) estimated at:
     0.0510146 (variance)
     6.26134 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(6.26134) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1585983417] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -4.84214
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -2.77049
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -2.95361
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -5.31323
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -9.40993
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -7.51895
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -15.8475
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.5003 with stdev = 4.96507
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.5003(4.96507)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -4.90173
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -3.50399
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -3.10731
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -5.39945
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -9.85805
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -9.66591
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -15.7629
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -16.7877
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.11949 with stdev = 5.42239
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.5003(4.96507)
     search[ 3.33333 ] = -7.11949(5.42239)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -5.03785
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -2.38932
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -2.83786
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -8.20108
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -8.56407
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.714 with stdev = 4.63275
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.714(4.63275)
     search[ 0.333333 ] = -6.5003(4.96507)
     search[ 3.33333 ] = -7.11949(5.42239)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -5.61866
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -2.40094
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.7731 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00420381 with value -5.71924 and continue = 0
     search[ 0.00333333 ] = -5.7731(4.9802)
     search[ 0.0333333 ] = -5.714(4.63275)
     search[ 0.333333 ] = -6.5003(4.96507)
     search[ 3.33333 ] = -7.11949(5.42239)
    
    
     Maximum predicted log likelihood (-5.71924) estimated at:
     0.00420381 (variance)
     21.8119 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.8119) None
     ── 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) ───────────
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     ── 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) ───────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) ───────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ───────────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ───────────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ───────────────
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.0.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [19s/27s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -578.668
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -573.942
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -590.902
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.175
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -587.057
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.432
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -577.729
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -611.017
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -594.266
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -594.057
     AvgPred = -588.324 with stdev = 10.7386
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -579.005
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -573.501
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -593.578
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -583.972
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -589.141
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -598.568
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -579.41
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -611.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -595.563
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -596.237
     AvgPred = -590.035 with stdev = 10.7482
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -579.265
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -575.14
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -588.558
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -574.136
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -588.009
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -595.77
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -576.398
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -612.9
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -594.761
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -591.299
     AvgPred = -587.624 with stdev = 11.421
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -584.521
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -578.463
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -592.864
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -581.751
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -596.902
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -604.67
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -581.532
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -619.348
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -598.041
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -593.315
     AvgPred = -593.141 with stdev = 11.8836
     Completed at 0.001
     Next point at 0.0549544 with value -587.448 and continue = 0
     search[ 0.001 ] = -593.141(11.8836)
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
    
     Maximum predicted log likelihood (-587.448) estimated at:
     0.0549544 (variance)
     6.03273 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(6.03273) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1586084157] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -7.51556
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -2.77056
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -5.31322
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -15.8482
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -9.40992
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -4.84215
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -2.95363
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.50003 with stdev = 4.96511
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50003(4.96511)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -9.66612
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -3.50408
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -16.7879
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -5.39946
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -15.7841
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -9.85796
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -4.90174
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -3.10647
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.12156 with stdev = 5.42587
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50003(4.96511)
     search[ 3.33333 ] = -7.12156(5.42587)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -2.38933
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -8.5641
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -4.23478
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -8.20115
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -2.22487
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -5.0378
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -2.83785
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.71401 with stdev = 4.63275
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.71401(4.63275)
     search[ 0.333333 ] = -6.50003(4.96511)
     search[ 3.33333 ] = -7.12156(5.42587)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -2.40093
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -5.61865
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.7731 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00423261 with value -5.71928 and continue = 0
     search[ 0.00333333 ] = -5.7731(4.9802)
     search[ 0.0333333 ] = -5.71401(4.63275)
     search[ 0.333333 ] = -6.50003(4.96511)
     search[ 3.33333 ] = -7.12156(5.42587)
    
    
     Maximum predicted log likelihood (-5.71928) estimated at:
     0.00423261 (variance)
     21.7376 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.7376) None
     ── 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) ───────────
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     ── 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) ───────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) ───────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ───────────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ───────────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ───────────────
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2.0.2
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [15s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -585.503
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -596.13
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -594.388
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.469
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -609.78
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.728
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -590.234
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -569.379
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -590.255
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -569.965
     AvgPred = -588.183 with stdev = 11.9089
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.183(11.9089)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -587.413
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -596.812
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -596.513
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -580.658
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -611.455
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -597.123
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -591.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -569.712
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -593.857
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -574.289
     AvgPred = -589.921 with stdev = 11.7004
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -583.59
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -597.107
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -593.164
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -577.713
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -610.25
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -596.412
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -591.679
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -570.174
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -588.619
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -568.46
     AvgPred = -587.717 with stdev = 12.3021
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.717(12.3021)
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -594.3
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -600.43
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -596.386
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -585.184
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -616.545
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -597.987
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -594.794
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -574.862
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -594.09
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -578.678
     AvgPred = -593.326 with stdev = 11.1631
     Completed at 0.001
     Next point at 0.0586225 with value -587.372 and continue = 0
     search[ 0.001 ] = -593.326(11.1631)
     search[ 0.01 ] = -587.717(12.3021)
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
    
     Maximum predicted log likelihood (-587.372) estimated at:
     0.0586225 (variance)
     5.84094 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(5.84094) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1586174999] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -2.77056
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -5.31322
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -7.51898
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -4.84229
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -9.40993
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -15.8481
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -2.9539
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.50041 with stdev = 4.96515
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50041(4.96515)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -3.50399
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -5.39945
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -9.66811
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -16.7877
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -4.90174
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -9.85815
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -15.784
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -3.1064
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.12173 with stdev = 5.42593
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50041(4.96515)
     search[ 3.33333 ] = -7.12173(5.42593)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -2.38933
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -8.56421
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -5.03779
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -8.2011
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -2.83786
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.71401 with stdev = 4.63276
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.71401(4.63276)
     search[ 0.333333 ] = -6.50041(4.96515)
     search[ 3.33333 ] = -7.12173(5.42593)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -2.40093
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -5.61869
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.7731 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00422633 with value -5.71926 and continue = 0
     search[ 0.00333333 ] = -5.7731(4.9802)
     search[ 0.0333333 ] = -5.71401(4.63276)
     search[ 0.333333 ] = -6.50041(4.96515)
     search[ 3.33333 ] = -7.12173(5.42593)
    
    
     Maximum predicted log likelihood (-5.71926) estimated at:
     0.00422633 (variance)
     21.7537 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.7537) None
     -- 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) -----------
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     -- 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) -----------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) -----------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ---------------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ---------------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ---------------
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     == testthat results ===========================================================
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 2.0.2
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [16s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -585.503
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -596.13
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -594.388
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.469
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -609.78
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.728
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -590.234
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -569.379
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -590.255
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -569.965
     AvgPred = -588.183 with stdev = 11.9089
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.183(11.9089)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -587.413
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -596.812
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -596.513
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -580.658
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -611.455
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -597.123
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -591.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -569.712
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -593.857
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -574.289
     AvgPred = -589.921 with stdev = 11.7004
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -583.59
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -597.107
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -593.164
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -577.713
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -610.25
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -596.412
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -591.679
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -570.174
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -588.619
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -568.46
     AvgPred = -587.717 with stdev = 12.3021
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.717(12.3021)
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -594.3
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -600.43
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -596.386
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -585.184
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -616.545
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -597.987
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -594.794
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -574.862
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -594.09
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -578.678
     AvgPred = -593.326 with stdev = 11.1631
     Completed at 0.001
     Next point at 0.0586225 with value -587.372 and continue = 0
     search[ 0.001 ] = -593.326(11.1631)
     search[ 0.01 ] = -587.717(12.3021)
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
    
     Maximum predicted log likelihood (-587.372) estimated at:
     0.0586225 (variance)
     5.84094 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(5.84094) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1586175016] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -4.84214
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -15.8475
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -9.40992
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -2.77048
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -7.52074
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -2.95363
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -5.31323
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.50048 with stdev = 4.9651
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50048(4.9651)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -4.90173
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -15.7839
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -9.85796
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -3.50395
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -9.66602
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -3.10645
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -5.39945
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -16.7877
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.1215 with stdev = 5.42581
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50048(4.9651)
     search[ 3.33333 ] = -7.1215(5.42581)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -5.03785
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -8.20115
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -2.38932
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -2.83787
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -8.56418
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.71402 with stdev = 4.63276
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.71402(4.63276)
     search[ 0.333333 ] = -6.50048(4.9651)
     search[ 3.33333 ] = -7.1215(5.42581)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -5.61866
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -2.40094
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.7731 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00422202 with value -5.71925 and continue = 0
     search[ 0.00333333 ] = -5.7731(4.9802)
     search[ 0.0333333 ] = -5.71402(4.63276)
     search[ 0.333333 ] = -6.50048(4.9651)
     search[ 3.33333 ] = -7.1215(5.42581)
    
    
     Maximum predicted log likelihood (-5.71925) estimated at:
     0.00422202 (variance)
     21.7648 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.7648) None
     -- 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) -----------
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     -- 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) -----------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) -----------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ---------------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ---------------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ---------------
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     == testthat results ===========================================================
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 2.0.2
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [13s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -578.668
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -573.942
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -590.902
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.175
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -587.057
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.432
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -577.729
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -611.017
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -594.266
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -594.057
     AvgPred = -588.324 with stdev = 10.7386
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -579.005
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -573.501
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -593.578
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -583.972
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -589.141
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -598.568
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -579.41
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -611.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -595.563
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -596.237
     AvgPred = -590.035 with stdev = 10.7482
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -579.265
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -575.14
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -588.558
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -574.136
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -588.009
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -595.77
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -576.398
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -612.9
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -594.761
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -591.299
     AvgPred = -587.624 with stdev = 11.421
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -584.521
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -578.463
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -592.864
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -581.751
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -596.902
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -604.67
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -581.532
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -619.348
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -598.041
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -593.315
     AvgPred = -593.141 with stdev = 11.8836
     Completed at 0.001
     Next point at 0.0549544 with value -587.448 and continue = 0
     search[ 0.001 ] = -593.141(11.8836)
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
    
     Maximum predicted log likelihood (-587.448) estimated at:
     0.0549544 (variance)
     6.03273 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(6.03273) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1585408600] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -2.77049
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -2.95361
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -15.8476
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -9.40992
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -4.84215
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -5.31322
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -7.51898
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.50031 with stdev = 4.96508
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50031(4.96508)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -3.50399
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -3.10731
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -15.784
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -9.85796
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -4.90173
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -16.7877
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -5.39946
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -9.66811
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.12181 with stdev = 5.42586
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50031(4.96508)
     search[ 3.33333 ] = -7.12181(5.42586)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -2.38932
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -2.83786
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -8.20115
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -5.03777
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -8.56408
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -4.23478
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.71401 with stdev = 4.63275
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.71401(4.63275)
     search[ 0.333333 ] = -6.50031(4.96508)
     search[ 3.33333 ] = -7.12181(5.42586)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -2.40094
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -5.61869
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.77311 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00422948 with value -5.71926 and continue = 0
     search[ 0.00333333 ] = -5.77311(4.9802)
     search[ 0.0333333 ] = -5.71401(4.63275)
     search[ 0.333333 ] = -6.50031(4.96508)
     search[ 3.33333 ] = -7.12181(5.42586)
    
    
     Maximum predicted log likelihood (-5.71926) estimated at:
     0.00422948 (variance)
     21.7456 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.7456) None
     -- 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) -----------
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     -- 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) -----------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) -----------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ---------------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ---------------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ---------------
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     == testthat results ===========================================================
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64-gcc8

Version: 2.0.2
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [15s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -578.668
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -573.942
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -590.902
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.175
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -587.057
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.432
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -577.729
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -611.017
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -594.266
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -594.057
     AvgPred = -588.324 with stdev = 10.7386
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -579.005
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -573.501
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -593.578
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -583.972
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -589.141
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -598.568
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -579.41
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -611.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -595.563
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -596.237
     AvgPred = -590.035 with stdev = 10.7482
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -579.265
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -575.14
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -588.558
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -574.136
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -588.009
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -595.77
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -576.398
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -612.9
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -594.761
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -591.299
     AvgPred = -587.624 with stdev = 11.421
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -584.521
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -578.463
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -592.864
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -581.751
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -596.902
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -604.67
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -581.532
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -619.348
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -598.041
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -593.315
     AvgPred = -593.141 with stdev = 11.8836
     Completed at 0.001
     Next point at 0.0549544 with value -587.448 and continue = 0
     search[ 0.001 ] = -593.141(11.8836)
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
    
     Maximum predicted log likelihood (-587.448) estimated at:
     0.0549544 (variance)
     6.03273 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(6.03273) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1585408616] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -7.51556
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -4.84214
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -2.77047
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -9.40993
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -5.31322
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -2.95363
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -15.8476
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.49996 with stdev = 4.965
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.49996(4.965)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -9.66612
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -4.90184
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -3.50398
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -7.7905
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -5.39945
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -3.10645
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -16.7876
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -15.784
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.91479 with stdev = 5.35657
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.49996(4.965)
     search[ 3.33333 ] = -6.91479(5.35657)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -5.03782
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -2.38932
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -8.20109
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -2.83787
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -8.56491
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.71409 with stdev = 4.6328
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.71409(4.6328)
     search[ 0.333333 ] = -6.49996(4.965)
     search[ 3.33333 ] = -6.91479(5.35657)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -5.61866
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -2.40094
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.7731 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00197988 with value -5.70421 and continue = 0
     search[ 0.00333333 ] = -5.7731(4.9802)
     search[ 0.0333333 ] = -5.71409(4.6328)
     search[ 0.333333 ] = -6.49996(4.965)
     search[ 3.33333 ] = -6.91479(5.35657)
    
    
     Maximum predicted log likelihood (-5.70421) estimated at:
     0.00197988 (variance)
     31.7831 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(31.7831) None
     -- 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) -----------
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     -- 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) -----------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) -----------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ---------------
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     -- 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ---------------
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     -- 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ---------------
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     == testthat results ===========================================================
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64-gcc8

Version: 2.0.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [15s/17s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -578.668
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -573.942
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -590.902
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.175
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -587.057
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.432
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -577.729
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -611.017
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -594.266
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -594.057
     AvgPred = -588.324 with stdev = 10.7386
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -579.005
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -573.501
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -593.578
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -583.972
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -589.141
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -598.568
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -579.41
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -611.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -595.563
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -596.237
     AvgPred = -590.035 with stdev = 10.7482
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -579.265
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -575.14
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -588.558
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -574.136
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -588.009
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -595.77
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -576.398
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -612.9
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -594.761
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -591.299
     AvgPred = -587.624 with stdev = 11.421
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -584.521
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -578.463
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -592.864
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -581.751
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -596.902
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -604.67
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -581.532
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -619.348
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -598.041
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -593.315
     AvgPred = -593.141 with stdev = 11.8836
     Completed at 0.001
     Next point at 0.0549544 with value -587.448 and continue = 0
     search[ 0.001 ] = -593.141(11.8836)
     search[ 0.01 ] = -587.624(11.421)
     search[ 0.1 ] = -588.324(10.7386)
     search[ 1 ] = -590.035(10.7482)
    
    
     Maximum predicted log likelihood (-587.448) estimated at:
     0.0549544 (variance)
     6.03273 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(6.03273) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1586334486] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -2.77056
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -5.31322
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -4.84229
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -7.51909
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -2.95363
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -9.40993
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -15.8481
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.5004 with stdev = 4.96517
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.5004(4.96517)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -3.50399
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -5.39945
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -16.7877
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -4.90174
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -9.6661
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -3.10646
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -9.85815
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -15.784
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.12154 with stdev = 5.42583
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.5004(4.96517)
     search[ 3.33333 ] = -7.12154(5.42583)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -2.38933
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -8.56418
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -5.03779
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -2.8379
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -8.20109
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.71401 with stdev = 4.63275
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.71401(4.63275)
     search[ 0.333333 ] = -6.5004(4.96517)
     search[ 3.33333 ] = -7.12154(5.42583)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -2.40093
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -3.17614
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -5.61869
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -2.43581
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.77311 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00422463 with value -5.71926 and continue = 0
     search[ 0.00333333 ] = -5.77311(4.9802)
     search[ 0.0333333 ] = -5.71401(4.63275)
     search[ 0.333333 ] = -6.5004(4.96517)
     search[ 3.33333 ] = -7.12154(5.42583)
    
    
     Maximum predicted log likelihood (-5.71926) estimated at:
     0.00422463 (variance)
     21.7581 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.7581) None
     ── 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) ───────────
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     ── 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) ───────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) ───────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ───────────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ───────────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ───────────────
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 2.0.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [12s/17s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-osx-x86_64

Version: 2.0.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [29s/33s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > test_check("Cyclops")
     Loading required package: Cyclops
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId and rowId
     Sorting outcomes by stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 76.245 %
     Sorting covariates by covariateId, stratumId and rowId
     Sorting covariates by covariateId, stratumId, and rowId
     Sorting outcomes by stratumId, time (descending), y, and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.76 %
     Sorting covariates by covariateId, rowId
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 75.61 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.695 %
     Sorting covariates by covariateId and rowId
     Sparseness = 75.3 %
     Sorting covariates by covariateId and rowId
     Sparseness = 76.55 %
     Sorting covariates by covariateId and rowId
     Sparseness = 99.012 %
     Sorting outcomes by stratumId, time (descending), y and rowId
     Sorting covariates by covariateId, stratumId, time (descending), y, and rowId
     Sparseness = 98.0118 %
     Sorting covariates by covariateId and rowId
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 123] with data partitions of sizes 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
     Using 1 thread(s)
     Starting var = 0.1
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #1 Rep #1 pred log like = -585.503
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #2 Rep #1 pred log like = -596.13
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #3 Rep #1 pred log like = -594.388
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #4 Rep #1 pred log like = -579.469
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #5 Rep #1 pred log like = -609.78
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #6 Rep #1 pred log like = -596.728
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #7 Rep #1 pred log like = -590.234
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #8 Rep #1 pred log like = -569.379
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #9 Rep #1 pred log like = -590.255
     Running at Laplace(4.47214) None Grid-point #1 at 0.1 Fold #10 Rep #1 pred log like = -569.965
     AvgPred = -588.183 with stdev = 11.9089
     Completed at 0.1
     Next point at 1 with value 0 and continue = 1
     search[ 0.1 ] = -588.183(11.9089)
    
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #1 Rep #1 pred log like = -587.413
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #2 Rep #1 pred log like = -596.812
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #3 Rep #1 pred log like = -596.513
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #4 Rep #1 pred log like = -580.658
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #5 Rep #1 pred log like = -611.455
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #6 Rep #1 pred log like = -597.123
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #7 Rep #1 pred log like = -591.374
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #8 Rep #1 pred log like = -569.712
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #9 Rep #1 pred log like = -593.857
     Running at Laplace(1.41421) None Grid-point #2 at 1 Fold #10 Rep #1 pred log like = -574.289
     AvgPred = -589.921 with stdev = 11.7004
     Completed at 1
     Next point at 0.01 with value 0 and continue = 1
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #1 Rep #1 pred log like = -583.59
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #2 Rep #1 pred log like = -597.107
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #3 Rep #1 pred log like = -593.164
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #4 Rep #1 pred log like = -577.713
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #5 Rep #1 pred log like = -610.25
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #6 Rep #1 pred log like = -596.412
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #7 Rep #1 pred log like = -591.679
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #8 Rep #1 pred log like = -570.174
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #9 Rep #1 pred log like = -588.619
     Running at Laplace(14.1421) None Grid-point #3 at 0.01 Fold #10 Rep #1 pred log like = -568.46
     AvgPred = -587.717 with stdev = 12.3021
     Completed at 0.01
     Next point at 0.001 with value 0 and continue = 1
     search[ 0.01 ] = -587.717(12.3021)
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #1 Rep #1 pred log like = -594.3
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #2 Rep #1 pred log like = -600.43
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #3 Rep #1 pred log like = -596.386
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #4 Rep #1 pred log like = -585.184
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #5 Rep #1 pred log like = -616.545
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #6 Rep #1 pred log like = -597.987
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #7 Rep #1 pred log like = -594.794
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #8 Rep #1 pred log like = -574.862
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #9 Rep #1 pred log like = -594.09
     Running at Laplace(44.7214) None Grid-point #4 at 0.001 Fold #10 Rep #1 pred log like = -578.678
     AvgPred = -593.326 with stdev = 11.1631
     Completed at 0.001
     Next point at 0.0586225 with value -587.372 and continue = 0
     search[ 0.001 ] = -593.326(11.1631)
     search[ 0.01 ] = -587.717(12.3021)
     search[ 0.1 ] = -588.183(11.9089)
     search[ 1 ] = -589.921(11.7004)
    
    
     Maximum predicted log likelihood (-587.372) estimated at:
     0.0586225 (variance)
     5.84094 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(5.84094) None
     Using cross-validation selector type byRow
     Performing 10-fold cross-validation [seed = 1585390533] with data partitions of sizes 1 1 1 1 1 1 1 1 1 0
     Using 1 thread(s)
     Starting var = 0.333333 (default)
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #1 Rep #1 pred log like = -2.20943
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #2 Rep #1 pred log like = -4.84215
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #3 Rep #1 pred log like = -14.1377
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #4 Rep #1 pred log like = -2.77055
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #5 Rep #1 pred log like = -2.95361
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #6 Rep #1 pred log like = -5.31323
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #7 Rep #1 pred log like = -9.40993
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #8 Rep #1 pred log like = -15.8481
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #9 Rep #1 pred log like = -7.51911
     Running at Laplace(2.44949) None Grid-point #1 at 0.333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -6.50038 with stdev = 4.96518
     Completed at 0.333333
     Next point at 3.33333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50038(4.96518)
    
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #1 Rep #1 pred log like = -2.20787
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #2 Rep #1 pred log like = -4.90174
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #3 Rep #1 pred log like = -16.7877
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #4 Rep #1 pred log like = -3.50648
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #5 Rep #1 pred log like = -3.10731
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #6 Rep #1 pred log like = -5.39945
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #7 Rep #1 pred log like = -9.85805
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #8 Rep #1 pred log like = -15.784
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #9 Rep #1 pred log like = -9.67073
     Running at Laplace(0.774597) None Grid-point #2 at 3.33333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -7.12233 with stdev = 5.42582
     Completed at 3.33333
     Next point at 0.0333333 with value 0 and continue = 1
     search[ 0.333333 ] = -6.50038(4.96518)
     search[ 3.33333 ] = -7.12233(5.42582)
    
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #1 Rep #1 pred log like = -2.22488
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #2 Rep #1 pred log like = -5.0378
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #3 Rep #1 pred log like = -8.56408
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #4 Rep #1 pred log like = -2.38933
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #5 Rep #1 pred log like = -2.83786
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #6 Rep #1 pred log like = -4.23476
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #7 Rep #1 pred log like = -8.20108
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #8 Rep #1 pred log like = -17.2486
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #9 Rep #1 pred log like = -6.4016
     Running at Laplace(7.74597) None Grid-point #3 at 0.0333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.714 with stdev = 4.63275
     Completed at 0.0333333
     Next point at 0.00333333 with value 0 and continue = 1
     search[ 0.0333333 ] = -5.714(4.63275)
     search[ 0.333333 ] = -6.50038(4.96518)
     search[ 3.33333 ] = -7.12233(5.42582)
    
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #1 Rep #1 pred log like = -2.59079
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #2 Rep #1 pred log like = -5.61865
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #3 Rep #1 pred log like = -8.76107
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #4 Rep #1 pred log like = -2.40094
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #5 Rep #1 pred log like = -2.4358
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #6 Rep #1 pred log like = -3.17613
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #7 Rep #1 pred log like = -10.0062
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #8 Rep #1 pred log like = -17.9197
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #9 Rep #1 pred log like = -4.82178
     Running at Laplace(24.4949) None Grid-point #4 at 0.00333333 Fold #10 Rep #1 pred log like = 0
     AvgPred = -5.7731 with stdev = 4.9802
     Completed at 0.00333333
     Next point at 0.00423374 with value -5.71926 and continue = 0
     search[ 0.00333333 ] = -5.7731(4.9802)
     search[ 0.0333333 ] = -5.714(4.63275)
     search[ 0.333333 ] = -6.50038(4.96518)
     search[ 3.33333 ] = -7.12233(5.42582)
    
    
     Maximum predicted log likelihood (-5.71926) estimated at:
     0.00423374 (variance)
     21.7347 (lambda)
    
     Fitting model at optimal hyperparameter
     Using prior: Laplace(21.7347) None
     ── 1. Failure: Test basic XY constructor (@test-xyConstructor.R#29) ───────────
     summary(dataPtrD)[, "type"] not equal to as.factor(rep("dense", 5)).
     Types not compatible: character is not integer
    
     ── 2. Failure: Test basic XY constructor (@test-xyConstructor.R#40) ───────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 3. Failure: Test basic XY constructor (@test-xyConstructor.R#51) ───────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 4. Failure: Test COO-constructor (@test-xyConstructor.R#182) ───────────────
     summary(dataPtrI)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     ── 5. Failure: Test COO-constructor (@test-xyConstructor.R#191) ───────────────
     summary(dataPtrS)[, "type"] not equal to as.factor(rep("sparse", 5)).
     Types not compatible: character is not integer
    
     ── 6. Failure: Test COO-constructor (@test-xyConstructor.R#207) ───────────────
     summary(dataPtrA)[, "type"] not equal to as.factor(rep("indicator", 5)).
     Types not compatible: character is not integer
    
     Sparseness = 99.09 %
     Sorting covariates by covariateId and rowId
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 245 | SKIPPED: 11 | WARNINGS: 195 | FAILED: 6 ]
     1. Failure: Test basic XY constructor (@test-xyConstructor.R#29)
     2. Failure: Test basic XY constructor (@test-xyConstructor.R#40)
     3. Failure: Test basic XY constructor (@test-xyConstructor.R#51)
     4. Failure: Test COO-constructor (@test-xyConstructor.R#182)
     5. Failure: Test COO-constructor (@test-xyConstructor.R#191)
     6. Failure: Test COO-constructor (@test-xyConstructor.R#207)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86