Last updated on 2020-09-10 07:02:14 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.2.0 | 541.22 | 321.02 | 862.24 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.2.0 | 453.02 | 266.20 | 719.22 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 1.2.0 | 1143.11 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 1.2.0 | 1219.15 | NOTE | |||
| r-devel-windows-ix86+x86_64 | 1.2.0 | 1075.00 | 571.00 | 1646.00 | NOTE | |
| r-patched-linux-x86_64 | 1.2.0 | 499.41 | 348.95 | 848.36 | NOTE | |
| r-patched-solaris-x86 | 1.2.0 | 1143.80 | NOTE | |||
| r-release-linux-x86_64 | 1.2.0 | 477.05 | 335.01 | 812.06 | NOTE | |
| r-release-macos-x86_64 | 1.2.0 | ERROR | ||||
| r-release-windows-ix86+x86_64 | 1.2.0 | 1028.00 | 546.00 | 1574.00 | NOTE | |
| r-oldrel-macos-x86_64 | 1.2.0 | ERROR | ||||
| r-oldrel-windows-ix86+x86_64 | 1.2.0 | 754.00 | 672.00 | 1426.00 | NOTE |
Version: 1.2.0
Check: for GNU extensions in Makefiles
Result: NOTE
GNU make is a SystemRequirements.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64
Version: 1.2.0
Check: tests
Result: ERROR
Running 'testthat.R' [218s/242s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> Sys.setenv("R_TESTS" = "")
>
> library(testthat)
> library(rmdcev)
Loading required package: Rcpp
This is rmdcev version 1.2.0
> test_check("rmdcev")
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.012171 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 121.71 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.228772 seconds (Warm-up)
Chain 1: 0.07619 seconds (Sampling)
Chain 1: 0.304962 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.01432 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 143.2 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.110546 seconds (Warm-up)
Chain 1: 0.156665 seconds (Sampling)
Chain 1: 0.267211 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.012641 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 126.41 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.13405 seconds (Warm-up)
Chain 1: 0.178696 seconds (Sampling)
Chain 1: 3.31274 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.01587 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 158.7 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 6.35911 seconds (Warm-up)
Chain 1: 0.153705 seconds (Sampling)
Chain 1: 6.51281 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.016594 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 165.94 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.237159 seconds (Warm-up)
Chain 1: 0.1154 seconds (Sampling)
Chain 1: 0.352559 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.00996 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 99.6 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.067469 seconds (Warm-up)
Chain 1: 0.081512 seconds (Sampling)
Chain 1: 0.148981 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.009144 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 91.44 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.672517 seconds (Warm-up)
Chain 1: 0.074969 seconds (Sampling)
Chain 1: 0.747486 seconds (Total)
Chain 1:
[1] -2653.222965
[1] 5467.626887
Chain 1: Initial log joint probability = -9825.86
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: Error evaluating model log probability: Non-finite gradient.
Error evaluating model log probability: Non-finite gradient.
Error evaluating model log probability: Non-finite gradient.
Chain 1: 19 -914.527 0.125344 9.75621 0.4281 0.4281 30
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 39 -910.417 0.336908 4.02056 1 1 51
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 59 -908.498 0.186377 1.48621 1 1 73
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 79 -908.224 0.0053696 0.136022 1 1 97
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 99 -908.223 0.0030149 0.0109081 1 1 124
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 102 -908.223 0.000471434 0.0145965 0.4108 1 128
Chain 1: Optimization terminated normally:
Chain 1: Convergence detected: relative gradient magnitude is below tolerance
[1] "The outside good is not chosen for individuals: 147, -8.73114913702011e-11\n Ensure that the total expenditure on the alternatives is less than income."
-- 1. Error: Generate alpha MDCEV data (@test-gen_data.R#23) ------------------
Backtrace:
1. rmdcev::GenerateMDCEVData(...)
2. rmdcev::mdcev.data(data, id.var = "id", alt.var = "alt", choice = "quant")
3. rmdcev:::mdcev.datacheck(data)
Chain 1: Initial log joint probability = -6983.52
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 19 -3953.79 0.0187299 6.56652 0.2878 0.2878 24
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 39 -3953.01 0.00266121 0.30192 0.4447 0.4447 48
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 48 -3953.01 0.00105536 0.0236134 1 1 59
Chain 1: Optimization terminated normally:
Chain 1: Convergence detected: relative gradient magnitude is below tolerance
Chain 1: Initial log joint probability = -3555.46
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 19 -2770.04 0.00295144 2.7883 0.2752 0.2752 26
Chain 1: Iter log prob ||dx|| ||grad|| alpha alpha0 # evals Notes
Chain 1: 28 -2770 0.000135318 0.0616932 0.4322 0.4322 37
Chain 1: Optimization terminated normally:
Chain 1: Convergence detected: relative gradient magnitude is below tolerance
[1] -2770.001937
[1] -5073.68569
NULL
== testthat results ===========================================================
[ OK: 66 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 1 ]
1. Error: Generate alpha MDCEV data (@test-gen_data.R#23)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.2.0
Check: installed package size
Result: NOTE
installed size is 92.6Mb
sub-directories of 1Mb or more:
libs 91.7Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64
Version: 1.2.0
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘RcppParallel’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86
Version: 1.2.0
Check: package dependencies
Result: ERROR
Packages required and available but unsuitable versions: 'rstan', 'rstan'
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavor: r-release-macos-x86_64
Version: 1.2.0
Check: whether package can be installed
Result: ERROR
Installation failed.
Flavor: r-oldrel-macos-x86_64