CRAN Package Check Results for Package MIRES

Last updated on 2025-04-29 08:52:03 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.0 879.38 217.02 1096.40 OK
r-devel-linux-x86_64-debian-gcc 0.1.0 842.44 213.00 1055.44 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.0 1631.01 NOTE
r-devel-linux-x86_64-fedora-gcc 0.1.0 2352.88 NOTE
r-devel-windows-x86_64 0.1.0 956.00 317.00 1273.00 OK
r-patched-linux-x86_64 0.1.0 1025.99 293.22 1319.21 OK
r-release-linux-x86_64 0.1.0 1037.44 291.48 1328.92 OK
r-release-macos-arm64 0.1.0 435.00 OK
r-release-macos-x86_64 0.1.0 522.00 OK
r-release-windows-x86_64 0.1.0 925.00 329.00 1254.00 OK
r-oldrel-macos-arm64 0.1.0 434.00 NOTE
r-oldrel-macos-x86_64 0.1.0 413.00 NOTE
r-oldrel-windows-x86_64 0.1.0 1034.00 432.00 1466.00 NOTE

Check Details

Version: 0.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [47s/60s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(MIRES) > > test_check("MIRES") [1] "no object returned" [1] "no object returned" Chain 1: ------------------------------------------------------------ Chain 1: EXPERIMENTAL ALGORITHM: Chain 1: This procedure has not been thoroughly tested and may be unstable Chain 1: or buggy. The interface is subject to change. Chain 1: ------------------------------------------------------------ Chain 1: Chain 1: Chain 1: Chain 1: Gradient evaluation took 0.008422 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 84.22 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Begin eta adaptation. Chain 1: Iteration: 1 / 250 [ 0%] (Adaptation) Chain 1: Iteration: 50 / 250 [ 20%] (Adaptation) Chain 1: Iteration: 100 / 250 [ 40%] (Adaptation) Chain 1: Iteration: 150 / 250 [ 60%] (Adaptation) Chain 1: Iteration: 200 / 250 [ 80%] (Adaptation) Chain 1: Success! Found best value [eta = 1] earlier than expected. Chain 1: Chain 1: Begin stochastic gradient ascent. Chain 1: iter ELBO delta_ELBO_mean delta_ELBO_med notes Chain 1: 100 -255.950 1.000 1.000 Chain 1: 200 -184.655 0.693 1.000 MEAN ELBO CONVERGED Chain 1: Chain 1: Drawing a sample of size 1000 from the approximate posterior... Chain 1: COMPLETED. Chain 1: ------------------------------------------------------------ Chain 1: EXPERIMENTAL ALGORITHM: Chain 1: This procedure has not been thoroughly tested and may be unstable Chain 1: or buggy. The interface is subject to change. Chain 1: ------------------------------------------------------------ Chain 1: Chain 1: Chain 1: Chain 1: Gradient evaluation took 0.009913 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 99.13 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Begin eta adaptation. Chain 1: Iteration: 1 / 250 [ 0%] (Adaptation) Chain 1: Iteration: 50 / 250 [ 20%] (Adaptation) Chain 1: Iteration: 100 / 250 [ 40%] (Adaptation) Chain 1: Iteration: 150 / 250 [ 60%] (Adaptation) Chain 1: Iteration: 200 / 250 [ 80%] (Adaptation) Chain 1: Success! Found best value [eta = 1] earlier than expected. Chain 1: Chain 1: Begin stochastic gradient ascent. Chain 1: iter ELBO delta_ELBO_mean delta_ELBO_med notes Chain 1: 100 -11550240.442 1.000 1.000 Chain 1: 200 -114539817699.337 1.000 1.000 MEAN ELBO CONVERGED Chain 1: Informational Message: The ELBO at a previous iteration is larger than the ELBO upon convergence! Chain 1: This variational approximation may not have converged to a good optimum. Chain 1: Chain 1: Drawing a sample of size 1000 from the approximate posterior... Chain 1: COMPLETED. SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00087 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 8.7 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: 0.035 seconds (Warm-up) Chain 1: 0.018 seconds (Sampling) Chain 1: 0.053 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000453 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.53 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: 0.051 seconds (Warm-up) Chain 1: 0.007 seconds (Sampling) Chain 1: 0.058 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000574 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 5.74 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: 0.12 seconds (Warm-up) Chain 1: 0.285 seconds (Sampling) Chain 1: 0.405 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000472 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.72 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: 0.232 seconds (Warm-up) Chain 1: 0.368 seconds (Sampling) Chain 1: 0.6 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000412 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.12 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: 0.186 seconds (Warm-up) Chain 1: 0.258 seconds (Sampling) Chain 1: 0.444 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000349 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.49 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: 0.43 seconds (Warm-up) Chain 1: 0.307 seconds (Sampling) Chain 1: 0.737 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000368 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.68 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: 0.163 seconds (Warm-up) Chain 1: 0.206 seconds (Sampling) Chain 1: 0.369 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000372 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.72 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: 0.314 seconds (Warm-up) Chain 1: 0.267 seconds (Sampling) Chain 1: 0.581 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000352 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.52 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 8.988 seconds (Warm-up) Chain 1: 7.448 seconds (Sampling) Chain 1: 16.436 seconds (Total) Chain 1: [ FAIL 1 | WARN 0 | SKIP 0 | PASS 93 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_density_funs.R:20:5'): posterior_density_funs_sigmas calls DP when needed. ── Error in `validate_ll(log_ratios)`: All input values must be finite or -Inf. Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test_density_funs.R:20:5 2. │ └─base::withCallingHandlers(...) 3. └─MIRES:::posterior_density_funs_sigmas(test_obj, tol_rel_obj = 1) 4. └─base::sapply(...) 5. └─base::lapply(X = X, FUN = FUN, ...) 6. └─MIRES (local) FUN(X[[i]], ...) 7. ├─rstan::vb(...) 8. └─rstan::vb(...) 9. └─rstan (local) .local(object, ...) 10. ├─base::suppressWarnings(loo::psis(lr, r_eff = 1)) 11. │ └─base::withCallingHandlers(...) 12. ├─loo::psis(lr, r_eff = 1) 13. └─loo:::psis.default(lr, r_eff = 1) 14. └─loo:::importance_sampling.default(...) 15. └─loo:::importance_sampling.matrix(...) 16. └─loo:::validate_ll(log_ratios) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 93 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.0
Check: dependencies in R code
Result: NOTE Namespaces in Imports field not imported from: ‘pracma’ ‘rstantools’ All declared Imports should be used. Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.1.0
Check: installed package size
Result: NOTE installed size is 164.3Mb sub-directories of 1Mb or more: libs 163.7Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 0.1.0
Check: for GNU extensions in Makefiles
Result: NOTE GNU make is a SystemRequirements. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64