R Under development (unstable) (2026-02-18 r89435 ucrt) -- "Unsuffered Consequences" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(bayesianVARs) > > test_check("bayesianVARs") Since argument 'type' is specified with 'cholesky', all arguments starting with 'factor_' are being ignored. Since argument 'type' is specified with 'cholesky', all arguments starting with 'factor_' are being ignored. Argument 'cholesky_priorhomoscedastic' not specified. Setting both shape and rate of inverse gamma prior equal to 0.01. Since argument 'type' is specified with 'factor', all arguments starting with 'cholesky_' are being ignored. Cannot do deep factor_interweaving if (some) factor_factors are homoskedastic. Setting 'factor_interweaving' to 3. Argument 'factor_priorhomoskedastic' must be a matrix with dimension c(M, 2) if some of the elements of 'factor_heteroskedastic' are FALSE. Setting factor_priorhomoskedastic to a matrix with all rows equal to c(1.1, 1.1). [ FAIL 0 | WARN 0 | SKIP 1 | PASS 258 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-bvar.R:396:3' [ FAIL 0 | WARN 0 | SKIP 1 | PASS 258 ] > > proc.time() user system elapsed 30.67 0.92 31.62