CRAN Package Check Results for Package bsvars

Last updated on 2024-06-29 06:49:37 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.0 282.78 185.28 468.06 OK
r-devel-linux-x86_64-debian-gcc 3.0.1 190.95 148.53 339.48 OK
r-devel-linux-x86_64-fedora-clang 3.0.1 651.68 OK
r-devel-linux-x86_64-fedora-gcc 3.0.1 700.48 OK
r-devel-windows-x86_64 3.0 202.00 183.00 385.00 ERROR
r-patched-linux-x86_64 3.0 225.38 190.45 415.83 OK
r-release-linux-x86_64 3.0 239.15 190.73 429.88 OK
r-release-macos-arm64 3.0.1 224.00 NOTE
r-release-macos-x86_64 3.0.1 366.00 NOTE
r-release-windows-x86_64 3.0 201.00 252.00 453.00 OK
r-oldrel-macos-arm64 3.0.1 296.00 NOTE
r-oldrel-macos-x86_64 3.0.1 303.00 NOTE
r-oldrel-windows-x86_64 3.0 246.00 255.00 501.00 OK

Additional issues

valgrind

Check Details

Version: 3.0
Check: examples
Result: ERROR Running examples in 'bsvars-Ex.R' failed The error most likely occurred in: > ### Name: compute_variance_decompositions.PosteriorBSVARMIX > ### Title: Computes posterior draws of the forecast error variance > ### decomposition > ### Aliases: compute_variance_decompositions.PosteriorBSVARMIX > > ### ** Examples > > # upload data > data(us_fiscal_lsuw) > > # specify the model and set seed > set.seed(123) > specification = specify_bsvar_mix$new(us_fiscal_lsuw, p = 1, M = 2) The identification is set to the default option of lower-triangular structural matrix. > > # run the burn-in > burn_in = estimate(specification, 10) **************************************************| bsvars: Bayesian Structural Vector Autoregressions| **************************************************| Gibbs sampler for the SVAR-finiteMIX model | **************************************************| Progress of the MCMC simulation for 10 draws Every draw is saved via MCMC thinning Press Esc to interrupt the computations **************************************************| 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| > > # estimate the model > posterior = estimate(burn_in, 20) **************************************************| bsvars: Bayesian Structural Vector Autoregressions| **************************************************| Gibbs sampler for the SVAR-finiteMIX model | **************************************************| Progress of the MCMC simulation for 20 draws Every draw is saved via MCMC thinning Press Esc to interrupt the computations **************************************************| 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| > > # compute forecast error variance decomposition 2 years ahead > fevd = compute_variance_decompositions(posterior, horizon = 8) Flavor: r-devel-windows-x86_64

Version: 3.0.1
Check: installed package size
Result: NOTE installed size is 13.3Mb sub-directories of 1Mb or more: libs 11.9Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

mirror server hosted at Truenetwork, Russian Federation.