R Under development (unstable) (2026-08-24 r90445 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(bayesplot)
This is bayesplot version 1.16.0
- Online documentation and vignettes at mc-stan.org/bayesplot
- bayesplot theme set to bayesplot::theme_default()
   * Does _not_ affect other ggplot2 plots
   * See ?bayesplot_theme_set for details on theme setting
> 
> Sys.unsetenv("R_TESTS")
> test_check("bayesplot")
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
The 'independent' method is superseded by the 'correlated' method.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
Note: `extrapolation_factor` now defaults to 1.2 (20%).
To display all posterior predictive draws, set `extrapolation_factor = Inf`.
Note: `extrapolation_factor` now defaults to 1.2 (20%).
To display all posterior predictive draws, set `extrapolation_factor = Inf`.
Note: `extrapolation_factor` now defaults to 1.2 (20%).
To display all posterior predictive draws, set `extrapolation_factor = Inf`.
Note: `extrapolation_factor` now defaults to 1.2 (20%).
To display all posterior predictive draws, set `extrapolation_factor = Inf`.
Note: `extrapolation_factor` now defaults to 1.2 (20%).
To display all posterior predictive draws, set `extrapolation_factor = Inf`.
Note: `extrapolation_factor` now defaults to 1.2 (20%).
To display all posterior predictive draws, set `extrapolation_factor = Inf`.
Note: `extrapolation_factor` now defaults to 1.2 (20%).
To display all posterior predictive draws, set `extrapolation_factor = Inf`.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
The 'independent' method is superseded by the 'correlated' method.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
The 'independent' method is superseded by the 'correlated' method.
The 'independent' method is superseded by the 'correlated' method.
The 'independent' method is superseded by the 'correlated' method.
The 'independent' method is superseded by the 'correlated' method.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value `binwidth`.
With only 1 row in 'yrep' ppc_scatter_avg is the same as ppc_scatter.
NOTE: The kernel density estimate assumes continuous observations and is not optimal for discrete observations.
NOTE: The kernel density estimate assumes continuous observations and is not optimal for discrete observations.
NOTE: The kernel density estimate assumes continuous observations and is not optimal for discrete observations.
NOTE: The kernel density estimate assumes continuous observations and is not optimal for discrete observations.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
The 'independent' method is superseded by the 'correlated' method.
The 'independent' method is superseded by the 'correlated' method.
The 'independent' method is superseded by the 'correlated' method.
'pit' specified so ignoring 'y','yrep','lw' if specified.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
i In the next major release, the default `method` will change to 'correlated'.
* To silence this message, explicitly set `method = 'independent'` or
  `method = 'correlated'`.
'pit' specified so ignoring 'y','yrep','lw' if specified.
NOTE: The kernel density estimate assumes continuous observations and is not optimal for discrete observations.
NOTE: The kernel density estimate assumes continuous observations and is not optimal for discrete observations.
'intervals' specified so ignoring 'yrep', 'psis_object', 'subset', if specified.
'intervals' specified so ignoring 'yrep', 'psis_object', 'subset', if specified.
'intervals' specified so ignoring 'yrep', 'psis_object', 'subset', if specified.
'intervals' specified so ignoring 'yrep', 'psis_object', 'subset', if specified.
With only 1 row in 'yrep' ppc_scatter_avg is the same as ppc_scatter.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
Note: in most cases the default test statistic 'mean' is too weak to detect anything of interest.
[ FAIL 0 | WARN 21 | SKIP 98 | PASS 1600 ]

══ Skipped tests (98) ══════════════════════════════════════════════════════════
• On CRAN (98): 'test-aesthetics.R:229:3', 'test-extractors.R:132:3',
  'test-mcmc-diagnostics.R:115:3', 'test-mcmc-diagnostics.R:129:3',
  'test-mcmc-diagnostics.R:144:3', 'test-mcmc-diagnostics.R:155:3',
  'test-mcmc-diagnostics.R:166:3', 'test-mcmc-diagnostics.R:180:3',
  'test-mcmc-diagnostics.R:192:3', 'test-mcmc-distributions.R:224:3',
  'test-mcmc-distributions.R:239:3', 'test-mcmc-distributions.R:254:3',
  'test-mcmc-distributions.R:266:3', 'test-mcmc-distributions.R:275:3',
  'test-mcmc-distributions.R:284:3', 'test-mcmc-distributions.R:293:3',
  'test-mcmc-distributions.R:302:3', 'test-mcmc-intervals.R:196:3',
  'test-mcmc-intervals.R:224:3', 'test-mcmc-intervals.R:258:3',
  'test-mcmc-nuts.R:95:3', 'test-mcmc-nuts.R:107:3', 'test-mcmc-nuts.R:119:3',
  'test-mcmc-nuts.R:131:3', 'test-mcmc-nuts.R:143:3',
  'test-mcmc-recover.R:104:3', 'test-mcmc-recover.R:113:3',
  'test-mcmc-recover.R:125:3', 'test-mcmc-scatter-and-parcoord.R:468:3',
  'test-mcmc-scatter-and-parcoord.R:498:3',
  'test-mcmc-scatter-and-parcoord.R:515:3',
  'test-mcmc-scatter-and-parcoord.R:532:3', 'test-mcmc-traces.R:165:3',
  'test-mcmc-traces.R:189:3', 'test-mcmc-traces.R:215:3',
  'test-mcmc-traces.R:251:3', 'test-mcmc-traces.R:284:3',
  'test-mcmc-traces.R:313:3', 'test-mcmc-traces.R:342:3',
  'test-ppc-calibration.R:329:3', 'test-ppc-calibration.R:346:3',
  'test-ppc-calibration.R:364:3', 'test-ppc-calibration.R:397:3',
  'test-ppc-calibration.R:433:3', 'test-ppc-calibration.R:451:3',
  'test-ppc-calibration.R:499:3', 'test-ppc-censoring.R:80:3',
  'test-ppc-censoring.R:127:3', 'test-ppc-discrete.R:139:3',
  'test-ppc-discrete.R:173:3', 'test-ppc-discrete.R:195:3',
  'test-ppc-discrete.R:241:3', 'test-ppc-distributions.R:350:3',
  'test-ppc-distributions.R:369:3', 'test-ppc-distributions.R:401:3',
  'test-ppc-distributions.R:414:3', 'test-ppc-distributions.R:439:3',
  'test-ppc-distributions.R:474:3', 'test-ppc-distributions.R:495:3',
  'test-ppc-distributions.R:517:3', 'test-ppc-distributions.R:526:3',
  'test-ppc-distributions.R:539:3', 'test-ppc-distributions.R:564:3',
  'test-ppc-distributions.R:586:3', 'test-ppc-distributions.R:630:3',
  'test-ppc-distributions.R:667:1', 'test-ppc-distributions.R:692:1',
  'test-ppc-distributions.R:720:1', 'test-ppc-distributions.R:752:3',
  'test-ppc-errors.R:101:3', 'test-ppc-errors.R:110:3',
  'test-ppc-errors.R:119:3', 'test-ppc-errors.R:128:3',
  'test-ppc-errors.R:140:3', 'test-ppc-errors.R:149:3',
  'test-ppc-errors.R:163:3', 'test-ppc-intervals.R:119:3',
  'test-ppc-intervals.R:144:3', 'test-ppc-intervals.R:170:3',
  'test-ppc-intervals.R:204:3', 'test-ppc-loo.R:366:3', 'test-ppc-loo.R:385:3',
  'test-ppc-loo.R:396:3', 'test-ppc-loo.R:428:3', 'test-ppc-loo.R:459:1',
  'test-ppc-loo.R:484:1', 'test-ppc-loo.R:512:1', 'test-ppc-loo.R:539:3',
  'test-ppc-loo.R:616:3', 'test-ppc-scatterplots.R:65:3',
  'test-ppc-scatterplots.R:85:3', 'test-ppc-scatterplots.R:105:3',
  'test-ppc-test-statistics.R:147:3', 'test-ppc-test-statistics.R:200:3',
  'test-ppc-test-statistics.R:234:3', 'test-ppc-test-statistics.R:291:3',
  'test-ppd-marginal.R:22:3', 'test-ppd-marginal.R:56:3'

[ FAIL 0 | WARN 21 | SKIP 98 | PASS 1600 ]
> 
> # Alternative interactive tester that doesn't bail after 24 failures
> # pr <- testthat::ProgressReporter$new()
> # pr$max_fail = 1000
> # devtools::test(reporter = pr)
> 
> proc.time()
   user  system elapsed 
 287.45   14.35  303.26