Last updated on 2019-11-02 07:49:00 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.0 | 12.06 | 124.03 | 136.09 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.0.0 | 11.31 | 93.61 | 104.92 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.0.0 | 158.90 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.0.0 | 155.42 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 1.0.0 | 46.00 | 131.00 | 177.00 | ERROR | |
| r-patched-linux-x86_64 | 1.0.0 | 11.87 | 114.34 | 126.21 | ERROR | |
| r-patched-solaris-x86 | 1.0.0 | 239.60 | ERROR | |||
| r-release-linux-x86_64 | 1.0.0 | 13.48 | 116.34 | 129.82 | ERROR | |
| r-release-windows-ix86+x86_64 | 1.0.0 | 26.00 | 186.00 | 212.00 | ERROR | |
| r-release-osx-x86_64 | 1.0.0 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 1.0.0 | 29.00 | 225.00 | 254.00 | ERROR | |
| r-oldrel-osx-x86_64 | 1.0.0 | OK |
Version: 1.0.0
Check: tests
Result: ERROR
Running 'testthat.R' [15s/16s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in install.packages(pkgs[!result], ...) :
unable to install packages
Removing 3 indicators that are constant.
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 16
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.174 0.000 0.175
$train
user system elapsed
0.137 0.000 0.137
$predict
user system elapsed
0.032 0.000 0.033
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.151 0.004 0.170
$train
user system elapsed
0.110 0.004 0.130
$predict
user system elapsed
0.035 0.000 0.034
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
-- 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
-- 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.165 0.000 0.166
$train
user system elapsed
0.130 0.000 0.132
$predict
user system elapsed
0.029 0.000 0.029
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.140 0.036 0.176
$train
user system elapsed
0.110 0.032 0.142
$predict
user system elapsed
0.025 0.004 0.029
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
== testthat results ===========================================================
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [11s/14s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in install.packages(pkgs[!result], ...) :
unable to install packages
Removing 3 indicators that are constant.
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 16
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.118 0.003 0.160
$train
user system elapsed
0.094 0.000 0.133
$predict
user system elapsed
0.019 0.003 0.023
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.112 0.001 0.113
$train
user system elapsed
0.082 0.001 0.083
$predict
user system elapsed
0.025 0.000 0.026
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
── 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
── 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.110 0.000 0.148
$train
user system elapsed
0.088 0.000 0.125
$predict
user system elapsed
0.018 0.000 0.019
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.103 0.000 0.104
$train
user system elapsed
0.080 0.000 0.081
$predict
user system elapsed
0.019 0.000 0.018
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [17s/18s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in contrib.url(repos, type) :
trying to use CRAN without setting a mirror
Removing 3 indicators that are constant.
Local physical cores detected: 12
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 12
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 12
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.208 0.006 0.216
$train
user system elapsed
0.158 0.005 0.164
$predict
user system elapsed
0.043 0.001 0.046
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.179 0.000 0.181
$train
user system elapsed
0.140 0.000 0.143
$predict
user system elapsed
0.032 0.000 0.032
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
── 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
── 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.195 0.000 0.260
$train
user system elapsed
0.156 0.000 0.220
$predict
user system elapsed
0.033 0.000 0.034
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.184 0.006 0.191
$train
user system elapsed
0.144 0.005 0.150
$predict
user system elapsed
0.033 0.001 0.035
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [15s/17s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in contrib.url(repos, type) :
trying to use CRAN without setting a mirror
Removing 3 indicators that are constant.
Local physical cores detected: 12
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 12
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 12
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.196 0.005 0.210
$train
user system elapsed
0.151 0.003 0.160
$predict
user system elapsed
0.039 0.001 0.042
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.170 0.000 0.248
$train
user system elapsed
0.134 0.000 0.208
$predict
user system elapsed
0.029 0.000 0.033
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
── 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
── 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.186 0.000 0.191
$train
user system elapsed
0.148 0.000 0.151
$predict
user system elapsed
0.032 0.000 0.032
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.164 0.000 0.167
$train
user system elapsed
0.128 0.000 0.131
$predict
user system elapsed
0.029 0.000 0.029
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.0.0
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: 'doMC'
Flavors: r-devel-windows-ix86+x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64
Version: 1.0.0
Check: tests
Result: ERROR
Running 'testthat.R' [17s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in contrib.url(repos, "source") :
trying to use CRAN without setting a mirror
Removing 3 indicators that are constant.
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 16
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.27 0.00 0.26
$train
user system elapsed
0.18 0.00 0.18
$predict
user system elapsed
0.05 0.00 0.05
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.18 0.02 0.18
$train
user system elapsed
0.13 0.02 0.14
$predict
user system elapsed
0.05 0.00 0.04
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
-- 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
-- 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.22 0.00 0.22
$train
user system elapsed
0.17 0.00 0.17
$predict
user system elapsed
0.03 0.00 0.03
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.2 0.0 0.2
$train
user system elapsed
0.14 0.00 0.14
$predict
user system elapsed
0.05 0.00 0.05
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
== testthat results ===========================================================
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-windows-ix86+x86_64
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [13s/14s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in install.packages(pkgs[!result], ...) :
unable to install packages
Removing 3 indicators that are constant.
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 16
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.161 0.004 0.182
$train
user system elapsed
0.127 0.004 0.131
$predict
user system elapsed
0.028 0.000 0.028
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.147 0.000 0.160
$train
user system elapsed
0.108 0.000 0.121
$predict
user system elapsed
0.033 0.000 0.033
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
── 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
── 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.165 0.000 0.165
$train
user system elapsed
0.124 0.000 0.123
$predict
user system elapsed
0.036 0.000 0.036
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.146 0.001 0.148
$train
user system elapsed
0.115 0.000 0.117
$predict
user system elapsed
0.026 0.000 0.026
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-linux-x86_64
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [26s/32s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in contrib.url(repos, type) :
trying to use CRAN without setting a mirror
Removing 3 indicators that are constant.
Local physical cores detected: 1
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 1
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 1
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.420 0.003 0.435
$train
user system elapsed
0.331 0.002 0.344
$predict
user system elapsed
0.073 0.000 0.075
Q object size: 3.1 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.369 0.002 0.395
$train
user system elapsed
0.287 0.002 0.313
$predict
user system elapsed
0.068 0.000 0.068
g object size: 3 Mb
Passing results to tmle.
Estimating missingness mechanism
── 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
── 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.415 0.001 0.422
$train
user system elapsed
0.304 0.001 0.310
$predict
user system elapsed
0.097 0.000 0.098
Q object size: 3.1 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.365 0.003 0.381
$train
user system elapsed
0.283 0.003 0.299
$predict
user system elapsed
0.067 0.000 0.068
g object size: 3 Mb
Passing results to tmle.
Estimating missingness mechanism
1.2 Mb
0.5 Mb
6.6 Mb
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-solaris-x86
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [13s/14s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in install.packages(pkgs[!result], ...) :
unable to install packages
Removing 3 indicators that are constant.
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 16
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.157 0.000 0.179
$train
user system elapsed
0.125 0.000 0.146
$predict
user system elapsed
0.027 0.000 0.028
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.142 0.000 0.142
$train
user system elapsed
0.104 0.000 0.105
$predict
user system elapsed
0.032 0.000 0.032
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
── 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
── 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.149 0.000 0.150
$train
user system elapsed
0.109 0.000 0.110
$predict
user system elapsed
0.035 0.000 0.035
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.137 0.001 0.138
$train
user system elapsed
0.107 0.001 0.108
$predict
user system elapsed
0.025 0.000 0.025
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-linux-x86_64
Version: 1.0.0
Check: tests
Result: ERROR
Running 'testthat.R' [18s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in contrib.url(repos, "source") :
trying to use CRAN without setting a mirror
Removing 3 indicators that are constant.
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 16
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.24 0.01 0.25
$train
user system elapsed
0.17 0.01 0.18
$predict
user system elapsed
0.05 0.00 0.05
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.19 0.00 0.19
$train
user system elapsed
0.16 0.00 0.16
$predict
user system elapsed
0.03 0.00 0.03
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
-- 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00475
-- 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.64e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386825 0.008542372
SL.glm_All 0.1761028 0.991457628
Q init times:
$everything
user system elapsed
0.24 0.00 0.20
$train
user system elapsed
0.15 0.00 0.17
$predict
user system elapsed
0.05 0.00 0.03
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2336885 0.0004017322
SL.glm_All 0.1268937 0.9995982678
g times:
$everything
user system elapsed
0.21 0.00 0.20
$train
user system elapsed
0.16 0.00 0.15
$predict
user system elapsed
0.03 0.00 0.03
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
== testthat results ===========================================================
[ OK: 0 | SKIPPED: 0 | WARNINGS: 3 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-windows-ix86+x86_64
Version: 1.0.0
Check: tests
Result: ERROR
Running 'testthat.R' [20s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(ck37r)
>
> test_check("ck37r")
Running SL via snow
Found 0 text files in "inst/extdata" to import.
Found 0 text files in "inst/extdata../" to import.
These packages need to be installed: ck37_blah123
install.packages(c("ck37_blah123"))
Auto-installing from repository: @CRAN@
Error in contrib.url(repos, "source") :
trying to use CRAN without setting a mirror
Removing 3 indicators that are constant.
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
Local physical cores detected: 16
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
'data.frame': 5000 obs. of 6 variables:
$ W1: int 1 1 0 1 1 0 0 1 0 0 ...
$ W2: int 1 1 1 1 1 1 1 0 0 1 ...
$ W3: num 0.7887 0.9758 0.951 0.6037 0.0303 ...
$ W4: int 3 2 1 3 2 1 2 1 2 0 ...
$ A : int 0 0 0 1 0 0 0 1 1 1 ...
$ Y : int 1 1 1 1 1 0 1 1 0 0 ...
Local physical cores detected: 16
Restricting usage to 2 cores.
Our BLAS is setup for 1 threads and OMP is 1 threads.
doPar backend registered: doSEQ
Workers enabled: 1
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386647 0.008052134
SL.glm_All 0.1760507 0.991947866
Q init times:
$everything
user system elapsed
0.19 0.01 0.25
$train
user system elapsed
0.14 0.01 0.19
$predict
user system elapsed
0.03 0.00 0.03
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2337076 0.00026338
SL.glm_All 0.1269375 0.99973662
g times:
$everything
user system elapsed
0.19 0.00 0.19
$train
user system elapsed
0.14 0.00 0.14
$predict
user system elapsed
0.03 0.00 0.04
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
-- 1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$psi - result$estimates$ATE$psi) is not less than .Machine$double.eps * 2. Difference: 0.00561
-- 2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parall
abs(tmle$estimates$ATE$var.psi - result$estimates$ATE$var.psi) is not less than .Machine$double.eps * 2. Difference: 1.66e-05
X dataframe object size: 0.1 MB
Stacked df dimensions: 10,000 5
Stacked dataframe object size: 0.3 MB
Estimating Q using custom SuperLearner.
Q init fit:
Call:
sl_fn(Y = Y, X = X, family = family, SL.library = Q.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2386647 0.008052134
SL.glm_All 0.1760507 0.991947866
Q init times:
$everything
user system elapsed
0.22 0.00 0.22
$train
user system elapsed
0.18 0.00 0.19
$predict
user system elapsed
0.04 0.00 0.03
Q object size: 4.3 Mb
Estimating g using custom SuperLearner.
g fit:
Call:
sl_fn(Y = A, X = W, family = "binomial", SL.library = g.SL.library, id = id,
verbose = verbose, cvControl = list(V = V))
Risk Coef
SL.mean_All 0.2337076 0.00026338
SL.glm_All 0.1269375 0.99973662
g times:
$everything
user system elapsed
0.21 0.00 0.22
$train
user system elapsed
0.17 0.00 0.17
$predict
user system elapsed
0.04 0.00 0.05
g object size: 4.2 Mb
Passing results to tmle.
Estimating missingness mechanism
1.4 Mb
0.5 Mb
9.1 Mb
== testthat results ===========================================================
[ OK: 0 | SKIPPED: 0 | WARNINGS: 2 | FAILED: 2 ]
1. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#42)
2. Failure: Confirm replicability compared to tmle::tmle() (@test-tmle_parallel.R#45)
Error: testthat unit tests failed
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64