CRAN Package Check Results for Package gmvarkit

Last updated on 2025-01-23 08:49:57 CET.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	2.1.4	12.93	347.77	360.70	OK
r-devel-linux-x86_64-debian-gcc	2.1.4	9.48	211.27	220.75	OK
r-devel-linux-x86_64-fedora-clang	2.1.4			594.50	OK
r-devel-linux-x86_64-fedora-gcc	2.1.4			564.05	OK
r-devel-windows-x86_64	2.1.4	15.00	369.00	384.00	OK
r-patched-linux-x86_64	2.1.4	18.76	319.38	338.14	OK
r-release-linux-x86_64	2.1.4	12.95	320.92	333.87	OK
r-release-macos-arm64	2.1.4			146.00	OK
r-release-macos-x86_64	2.1.4			381.00	OK
r-release-windows-x86_64	2.1.4	16.00	366.00	382.00	OK
r-oldrel-macos-arm64	2.1.4			146.00	OK
r-oldrel-macos-x86_64	2.1.4			376.00	OK
r-oldrel-windows-x86_64	2.1.4	19.00	443.00	462.00	ERROR

Check Details

Version: 2.1.4
Check: tests
Result: ERROR Running 'testthat.R' [259s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(gmvarkit) > > test_check("gmvarkit") Using 2 cores to estimate 2 GIRFs for 2 structural shocks, each based on 2 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate one GIRF for 1 structural shocks, each based on 1 Monte Carlo repetitions. Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 1 GIRFs for 2 structural shocks, each based on 1 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 1 GIRFs for 2 structural shocks, each based on 1 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 2 GIRFs for 2 structural shocks, each based on 2 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate one GIRF for 1 structural shocks, each based on 1 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Finished! Using 2 cores to estimate 6 GIRFs for 2 structural shocks, each based on 2 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 5 GIRFs for 2 structural shocks, each based on 2 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 2 GIRFs for 2 structural shocks, each based on 2 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate one GIRF for 1 structural shocks, each based on 1 Monte Carlo repetitions. Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 3 GIRFs for 2 structural shocks, each based on 4 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 1 GIRFs for 2 structural shocks, each based on 1 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 49 GIRFs for 2 structural shocks, each based on 1 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate 10 GIRFs for 2 structural shocks, each based on 5 Monte Carlo repetitions. Estimating GIRFs for structural shock 1... Estimating GIRFs for structural shock 2... Finished! Using 2 cores to estimate one GIRF for 2 structural shocks, each based on 6 Monte Carlo repetitions. Using 1 cores for 1 estimations rounds... The log-likelihood of the supplied model: -247.495 Constrained log-likelihood prior estimation: -283.263 Using 1 cores for 1 estimations rounds... Optimizing with a genetic algorithm... Results from the genetic algorithm: The lowest loglik: -249.595 The mean loglik: -249.595 The largest loglik: -249.595 Optimizing with a variable metric algorithm... Results from the variable metric algorithm: The lowest loglik: -247.65 The mean loglik: -247.65 The largest loglik: -247.65 Filtering inappropriate estimates... Calculating approximate standard errors... Finished! The log-likelihood of the supplied model: -299.858 Constrained log-likelihood prior estimation: -299.86 Using 1 cores for 1 estimations rounds... Optimizing with a genetic algorithm... Results from the genetic algorithm: The lowest loglik: -299.86 The mean loglik: -299.86 The largest loglik: -299.86 Optimizing with a variable metric algorithm... Results from the variable metric algorithm: The lowest loglik: -299.858 The mean loglik: -299.858 The largest loglik: -299.858 Filtering inappropriate estimates... Calculating approximate standard errors... Finished! Using 1 cores for 2 estimations rounds... Optimizing with a genetic algorithm... Optimizing with a variable metric algorithm... Filtering inappropriate estimates... Calculating approximate standard errors... Finished! Using 1 cores for 2 bootstrap replications... [ FAIL 2 | WARN 0 | SKIP 0 | PASS 1837 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_GIRFandGFEVD.R:132:3'): GFEVD works correctly ────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11898 cannot be opened Backtrace: ▆ 1. └─gmvarkit::GFEVD(...) at test_GIRFandGFEVD.R:132:3 2. └─parallel::makeCluster(ncores) 3. └─parallel::makePSOCKcluster(names = spec, ...) 4. └─base::serverSocket(port = port) ── Error ('test_MAINest.R:5:4'): fitGSMVAR does not throw errors ─────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11898 cannot be opened Backtrace: ▆ 1. ├─base::suppressMessages(...) at test_MAINest.R:5:4 2. │ └─base::withCallingHandlers(...) 3. └─gmvarkit::fitGSMVAR(...) 4. └─parallel::makeCluster(ncores) 5. └─parallel::makePSOCKcluster(names = spec, ...) 6. └─base::serverSocket(port = port) [ FAIL 2 | WARN 0 | SKIP 0 | PASS 1837 ] Error: Test failures Execution halted Flavor: r-oldrel-windows-x86_64