R Under development (unstable) (2026-02-12 r89409 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(vdiffr)
> library(covr)
> library(bdrc)
> 
> test_check("bdrc")
Progress:
Initializing Metropolis MCMC algorithm...
Multiprocess sampling (4 chains in 2 jobs) ...

MCMC sampling completed!

Diagnostics:
Acceptance rate: 35.68%.
✔ All chains have mixed well (Rhat < 1.1).
✔ Effective sample sizes sufficient (eff_n_samples > 400).
Progress:
Initializing Metropolis MCMC algorithm...
Multiprocess sampling (4 chains in 2 jobs) ...

MCMC sampling completed!

Diagnostics:
Acceptance rate: 24.67%.
✔ All chains have mixed well (Rhat < 1.1).
✔ Effective sample sizes sufficient (eff_n_samples > 400).
Progress:
Initializing Metropolis MCMC algorithm...
Multiprocess sampling (4 chains in 2 jobs) ...

MCMC sampling completed!

Diagnostics:
Acceptance rate: 27.77%.
✔ All chains have mixed well (Rhat < 1.1).
✔ Effective sample sizes sufficient (eff_n_samples > 400).
Progress:
Initializing Metropolis MCMC algorithm...
Multiprocess sampling (4 chains in 2 jobs) ...

MCMC sampling completed!

Diagnostics:
Acceptance rate: 21.22%.
✔ All chains have mixed well (Rhat < 1.1).
✔ Effective sample sizes sufficient (eff_n_samples > 400).
Progress:
Initializing Metropolis MCMC algorithm...
Progress:
Initializing Metropolis MCMC algorithm...
Progress:
Initializing Metropolis MCMC algorithm...
Progress:
Initializing Metropolis MCMC algorithm...
Progress:
Initializing Metropolis MCMC algorithm...
Multiprocess sampling (4 chains in 2 jobs) ...

MCMC sampling completed!

Diagnostics:
Acceptance rate: 25.24%.
✔ All chains have mixed well (Rhat < 1.1).
✔ Effective sample sizes sufficient (eff_n_samples > 400).
Running tournament  [                                                ] 0%

Running tournament  [                                                ] 0%

⚠ Warning: The Harmonic Mean Estimator (HME) is used to estimate the Bayes Factor for the posterior model probability (PMP), which is known to be unstable and potentially unreliable. We recommend using method "WAIC" (Widely Applicable Information Criterion) for model comparison instead.
⚠ Warning: The Harmonic Mean Estimator (HME) is used to estimate the Bayes Factor for the posterior model probability (PMP), which is known to be unstable and potentially unreliable. We recommend using method "WAIC" (Widely Applicable Information Criterion) for model comparison instead.
Progress:
Initializing Metropolis MCMC algorithm...
Multiprocess sampling (4 chains in 2 jobs) ...

MCMC sampling completed!

Diagnostics:
Acceptance rate: 36.02%.
✔ All chains have mixed well (Rhat < 1.1).
✔ Effective sample sizes sufficient (eff_n_samples > 400).
⚠ Warning: The Harmonic Mean Estimator (HME) is used to estimate the Bayes Factor for the posterior model probability (PMP), which is known to be unstable and potentially unreliable. We recommend using method "WAIC" (Widely Applicable Information Criterion) for model comparison instead.
⚠ Warning: The Harmonic Mean Estimator (HME) is used to estimate the Bayes Factor for the posterior model probability (PMP), which is known to be unstable and potentially unreliable. We recommend using method "WAIC" (Widely Applicable Information Criterion) for model comparison instead.
[ FAIL 0 | WARN 1 | SKIP 16 | PASS 751 ]

══ Skipped tests (16) ══════════════════════════════════════════════════════════
• On CRAN (16): 'test-gplm.R:14:5', 'test-gplm.R:57:5', 'test-gplm0.R:14:5',
  'test-gplm0.R:50:5', 'test-plm.R:14:5', 'test-plm.R:53:5',
  'test-plm0.R:14:5', 'test-plm0.R:46:5', 'test-plm_methods.R:3:5',
  'test-plm_methods.R:22:5', 'test-plm_methods.R:42:5',
  'test-plm_methods.R:58:5', 'test-plm_methods.R:75:5',
  'test-plm_methods.R:84:5', 'test-plm_methods.R:91:5',
  'test-plm_methods.R:100:5'

[ FAIL 0 | WARN 1 | SKIP 16 | PASS 751 ]
> 
> proc.time()
   user  system elapsed 
 214.76    9.95  304.31