R Under development (unstable) (2026-09-25 r90590 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.

> library(testthat)
> library(BayesPostEst)
> 
> test_check("BayesPostEst")
Loading required package: rjags
Loading required package: coda
Linked to JAGS 4.3.1
Loaded modules: basemod,bugs

Attaching package: 'R2jags'

The following object is masked from 'package:coda':

    traceplot

module glm loaded
Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 500
   Unobserved stochastic nodes: 5
   Total graph size: 3509

Initializing model

Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 500
   Unobserved stochastic nodes: 5
   Total graph size: 3015

Initializing model

Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 500
   Unobserved stochastic nodes: 3
   Total graph size: 3506

Initializing model

Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 500
   Unobserved stochastic nodes: 3
   Total graph size: 3506

Initializing model

##
## Markov Chain Monte Carlo Package (MCMCpack)
## Copyright (C) 2003-2026 Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park
##
## Support provided by the U.S. National Science Foundation
## (Grants SES-0350646 and SES-0350613)
##
Compiling rjags model...
Calling the simulation using the rjags method...
Note: the model did not require adaptation
Burning in the model for 1000 iterations...
Running the model for 2000 iterations...
Simulation complete
Calculating summary statistics...
Calculating the Gelman-Rubin statistic for 3 variables....
Finished running the simulation
Compiling rjags model...
Calling the simulation using the rjags method...
Note: the model did not require adaptation
Burning in the model for 4000 iterations...
Running the model for 10000 iterations...
Simulation complete
Calculating summary statistics...
Calculating the Gelman-Rubin statistic for 5 variables....
Finished running the simulation
Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 5
   Unobserved stochastic nodes: 3
   Total graph size: 36

Initializing model

Compiling rjags model...
Calling the simulation using the rjags method...
Note: the model did not require adaptation
Burning in the model for 4000 iterations...
Running the model for 10000 iterations...
Simulation complete
Calculating summary statistics...
Calculating the Gelman-Rubin statistic for 5 variables....
Finished running the simulation
Compiling rjags model...
Calling the simulation using the rjags method...
Note: the model did not require adaptation
Burning in the model for 4000 iterations...
Running the model for 10000 iterations...
Simulation complete
Calculating summary statistics...
Calculating the Gelman-Rubin statistic for 5 variables....
Finished running the simulation
Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 5
   Unobserved stochastic nodes: 3
   Total graph size: 36

Initializing model

Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 5
   Unobserved stochastic nodes: 3
   Total graph size: 36

Initializing model

Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 5
   Unobserved stochastic nodes: 3
   Total graph size: 36

Initializing model

[ FAIL 0 | WARN 0 | SKIP 4 | PASS 136 ]

══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• On CRAN (4): 'test_mcmcRocPrc.R:272:3', 'test_mcmcRocPrc.R:293:3',
  'test_mcmcRocPrc.R:325:3', 'test_mcmcRocPrc.R:357:3'

[ FAIL 0 | WARN 0 | SKIP 4 | PASS 136 ]
> 
> proc.time()
   user  system elapsed 
  53.09    3.87   62.78