R Under development (unstable) (2025-10-03 r88899 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 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/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(BayesSIM) Loading required package: nimble nimble version 1.3.0 is loaded. For more information on NIMBLE and a User Manual, please visit https://R-nimble.org. Note for advanced users who have written their own MCMC samplers: As of version 0.13.0, NIMBLE's protocol for handling posterior predictive nodes has changed in a way that could affect user-defined samplers in some situations. Please see Section 15.5.1 of the User Manual. Attaching package: 'nimble' The following object is masked from 'package:stats': simulate The following object is masked from 'package:base': declare Loading required package: ggplot2 Loading BayesSIM Registering multiple variants of the following distributions: dvMFnim, KnotsSimple, unitSphere. > > test_check("BayesSIM") [1] "Build Model" Defining model Building model Setting data and initial values Running calculate on model [Note] Any error reports that follow may simply reflect missing values in model variables. Checking model sizes and dimensions [1] "Assign samplers" [1] "Build Model" Defining model Building model Setting data and initial values Running calculate on model [Note] Any error reports that follow may simply reflect missing values in model variables. Checking model sizes and dimensions [1] "Assign samplers" mean sd LB UB 1 0.04666990 0.7428175 -1.0240813 1.0261953 2 0.04532849 0.7368352 -0.9441303 0.9484430 3 -0.04965384 0.6982281 -0.9395225 0.8304491 4 0.55168518 1.0926876 -0.7395237 2.2120697 5 0.08741722 1.1849422 -1.4130712 1.8544361 6 -0.29688805 0.7728364 -1.4020968 0.7790987 mean sd LB UB 1 0.05512713 0.8443699 -0.6439644 1.5697239 2 0.12610803 0.5557204 -0.3748373 1.0593712 3 -0.45807107 0.6859112 -1.5283247 0.4302739 4 -0.33374475 1.2254839 -1.8021353 1.6774041 5 -0.59265998 0.8664229 -1.5716902 0.7526000 6 0.25235605 1.2588539 -1.4064641 2.0545371 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 124 ] > > > proc.time() user system elapsed 10.21 1.07 12.12