R Observatory: Metrics for bayesplot version 1.16.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayesplot

1.16.0Package record

Plotting for Bayesian Models

54packages dependsuggested by 56

2.4Mdownloads / year

96.2%test coverage

12/13flavors OK

Overview

About

Maintained by Jonah GabryCRAN page ↗GitHub ↗Website ↗Issues ↗

Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) doi:10.1111/rssa.12378. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.

Changes in 1.16.0

New plots and plotting capabilities

mcmc_dots() and mcmc_dots_by_chain() are new quantile dot plots for MCMC draws. All dot-plot functions now default to quantiles = 100. @behramulukir (#402)
ppc_calibration() and the new grouped, overlay, LOO, and _data() variants provide calibration plots for models with binary outcomes. @TeemuSailynoja and @florence-bockting (#352)
ppc_loo_pit_ecdf(), ppc_pit_ecdf(), and ppc_pit_ecdf_grouped() gain method = "correlated" for dependence-aware uniformity tests and visualization of influential ECDF regions. The existing "independent" method remains the default but is superseded. @florence-bockting (#428)

Show all changes in 1.16.0Hide the rest of the changes in 1.16.0

ppc_rootogram_grouped() is a new grouped and faceted rootogram supporting all existing rootogram styles. @behramulukir and @jgabry (#419)
ppd_*() distribution and test-statistic functions gain show_marginal for adding the marginal predictive distribution; defaults are unchanged. @mattansb (#425)

Other improvements and behavior changes

mcmc_areas(), mcmc_areas_ridges(), mcmc_dens(), mcmc_dens_chains(), and mcmc_dens_overlay() gain a bounds argument for bounded density estimation, as do their _data() companions and the PPC and PPD density functions. @VisruthSK (#317)
mcmc_trace() now officially supports the highlight and alpha arguments for highlighting a chain with lines. @jgabry (#552)
ppc_*() and ppd_*() functions now accept posterior::draws objects for predictive draws. @ishaan-arora-1 (#542)
ppc_ecdf_overlay(), ppc_ecdf_overlay_grouped(), and ppd_ecdf_overlay() now always draw ECDFs as step functions; their discrete argument is deprecated. @utkarshpawade (#259)
prepare_mcmc_array() now warns rather than errors when draws contain NAs, allowing MCMC plots of ragged arrays padded with missing values. It also rejects unequal chain lengths and mismatched parameter names that could previously corrupt or misalign draws. @utkarshpawade (#250, #498, #528)

Bug fixes and compatibility

Improved compatibility with ggplot2 4.0 and current dplyr and tidyselect releases, eliminating deprecation and small-group warnings and fixing linetype legends. @jgabry, @BjarkeHautop, @ishaan-arora-1, and @utkarshpawade (#410, #412, #414, #442, #446, #448, #450, #458, #468)
mcmc_pairs() now correctly marks divergences and maximum-treedepth hits in every panel; a regression introduced in bayesplot 1.10.0 could omit or misassign them. @jgabry (#555)
nuts_params() preserves array dimensions when a single parameter is selected from a CmdStanMCMC object and gives clear errors for empty or zero-row list inputs. @utkarshpawade (#530, #534)
ppc_loo_pit_data() now validates user-supplied pit values at the entry point and rejects nonnumeric, missing, or out-of-range inputs. @utkarshpawade (#503)

There were many other non user-facing changes, including internal refactoring

and improved test coverage. The full changelog can be found at:

https://github.com/stan-dev/bayesplot/compare/v1.15.0...v1.16.0

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bayesplot", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("stan-dev/bayesplot")

Development version from stan-dev/bayesplot. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bayesplot

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bayesplot

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bayesplot

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

1ERROR12OK

Check messages

ERRORtestsr-oldrel-macos-arm64

Running ‘testthat.R’ [78s/79s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > 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()`
...[truncated]...
est-ppc-test-statistics.R:291:3',
    'test-ppd-marginal.R:22:3', 'test-ppd-marginal.R:56:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-ppc-loo.R:14:3'): (code run outside of `test_that()`) ──────────
  Error in `vapply(x, FUN = match.arg(fun), FUN.VALUE = fun_val, item)`: values must be length 1500,
   but FUN(X[[1]]) result is length 0
  Backtrace:
      ▆
   1. ├─base::suppressWarnings(psis1 <- psis(-log_lik(fit), cores = 2)) at test-ppc-loo.R:14:3
   2. │ └─base::withCallingHandlers(...)
   3. ├─loo::psis(-log_lik(fit), cores = 2)
   4. └─loo:::psis.matrix(-log_lik(fit), cores = 2)
   5.   └─loo:::importance_sampling.matrix(...)
   6.     └─loo:::do_importance_sampling(...)
   7.       └─loo:::psis_apply(lw_list, "log_weights", fun_val = numeric(S))
   8.         └─base::vapply(x, FUN = match.arg(fun), FUN.VALUE = fun_val, item)
  
  [ FAIL 1 | WARN 16 | SKIP 89 | PASS 1496 ]
  Error:
  ! Test failures.
  Execution halted

CRAN check page ↗

Slowest check: 13.1 min · r-oldrel-macos-x86_64

Status changes

ERROR12 OK, 1 ERRORNow
ERROR10 OK, 2 NOTE, 1 ERROR2026-08-26
NOTE11 OK, 2 NOTE2026-07-16
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25

Show 1 earlier changeHide 1 earlier change

NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.16.0

README· In the repository, left out of the releaseVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.16.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 36 (2 internal)includes a package overview page
Examples that run: 84%27 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 4 never run
Exported functions with examples: 97%
Documented parameters: 72%
Return-value docs: 94%
Help pages citing references: 56%

Vignettes (3)

How these are measured

Downloads

2.4M

CRAN downloads in the past year

Rank #209 · ~6.6K/day · ~200.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

187.6K30 days

737.7K90 days

2.4M1 year

Compare downloads with other packages →

Also on12.5K r2u179 autocran11K conda_forge627 c2d4u

How downloads are counted

Repository

stan-dev/bayesplot ↗Organization: stan-dev

444Stars

94Forks

56Open issues

14Open PRs

20Releases

2,469Commits

42Commit identities

r-packagestatistical-graphicsstanbayesianggplot2visualizationmcmcbayesian-workflow

License file reads as GPL-3.0 · 2,469 commits · Last activity 2026-10-12 · +0.5% stars, 30d · Default branch at 1.16.0.9000, ahead of CRAN 1.16.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 89%
Median days to close, 50 most recently updated closed issues: 1
Median days to close, 50 most recently updated closed PRs: 2

Stars over time

2025-10-02 · 4332026-10-14 · 444

How these are measured

PracticesBeta

11 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/stan-dev/bayesplot on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)

Contributing guideFunding

Funding links: GitHub Sponsors, mc-stan.org

The repository owner accepts GitHub Sponsors

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-10-13 · The repository has a site deploy workflow

pkgdown site last built 2026-08-25

Coverage (1)

Coverage reporting

Show all practicesHide 2 practices

Automation and maintenance (1)

Dependabot

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-12-30
Pull request: opened by its own account
Commits: 1 by its own account · at least 1 crediting it in the message

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

29 external dependencies (excludes base and recommended)

Installing bayesplot adds 43 packages (24 with compiled code, 35 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, ggridges 2.1 MB.

Depends (1)

R >= 4.1.0

Imports (14)

dplyr ggdist ggplot2 ggridges (>= 0.5.5)glue lifecycle posterior reshape2 rlangstatstibble tidyr tidyselectutils

LinkingTo (0)

none

Suggests (18)

cmdstanr ggfortify gridExtra hexbin knitr (>= 1.16)loo monotone patchwork RColorBrewer rmarkdown rstan rstanarm rstantools scales shinystansurvivaltestthat vdiffr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

54direct

60indirect

Depends 1 · Imports 53

Suggested by 56

Show the 48 most downloaded dependentsHide the 48 most downloaded dependents

Depends, Imports or LinkingTo, most downloaded first

and 6 more dependents and 56 packages that suggest it on CRAN ↗

How these are counted

Code & Tests

People & History

People (15)

Jonah Gabry

Author, Maintainer since 1.0.0 (2016)

Tristan Mahr

Author · added in 1.4.0

Ishaan Arora

Contributor · added in 1.16.0

Malcolm Barrett

Contributor · added in 1.6.0

Mattan S. Ben-Shachar

Contributor · added in 1.16.0

Florence Bockting

Contributor · added in 1.16.0

Paul-Christian Bürkner

Contributor · added in 1.6.0

Eduardo Coronado Sroka

Contributor · added in 1.8.0

Martin Modrák

Contributor · added in 1.6.0

Utkarsh Pawade

Contributor · added in 1.16.0

Show 5 more contributorsHide 5 contributors

Teemu Sailynoja

Contributor · added in 1.10.0

Visruth Srimath Kandali

Contributor · added in 1.15.0

Behram Ulukır

Contributor · added in 1.14.0

Aki Vehtari

Contributor · added in 1.8.0

Frank Weber

Contributor · added in 1.8.0

Listed in earlier versions (1)

Paul-Christian Buerkner

no longer listed · 1.0.0 to 1.5.0

Releases (21)

Pick two releases to compare their code metrics.

1.16.0Latest
record
2026-08-25 · current release · diff ↗ ·
added 10 exports
mcmc_dots, mcmc_dots_by_chain, ppc_calibration, ppc_calibration_data, ppc_calibration_grouped, ppc_calibration_overlay, ppc_calibration_overlay_grouped, ppc_loo_calibration, ppc_loo_calibration_grouped, ppc_rootogram_grouped
R
R 4.6.0 released · 2026-04-24
1.15.0
record
2025-12-12 · diff ↗
1.14.0
record
2025-09-01 · diff ↗ ·
added 2 exports
ppc_dots, ppd_dots
1.13.0
record
2025-06-19 · diff ↗ ·
added 1 export
ppc_loo_pit_ecdf
R
R 4.5.0 released · 2025-04-11
1.12.0
record
2025-04-10 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.11.1
record
2024-02-15 · diff ↗
1.11.0
record
2024-01-31 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.10.0
record
2022-11-16 · diff ↗ ·
added 3 exports
mcmc_rank_ecdf, ppc_pit_ecdf, ppc_pit_ecdf_grouped
R
R 4.2.0 released · 2022-04-22
1.9.0
record
2022-03-10 · diff ↗ ·
added 29 exports
available_ppd, ppc_bars_data, ppc_error_data, ppc_error_scatter_avg_grouped, ppc_km_overlay_grouped, ppc_scatter_avg_data, ppc_scatter_data, ppc_stat_data, ppc_stat_freqpoly, ppd_boxplot, ppd_data, ppd_dens, ppd_dens_overlay, ppd_ecdf_overlay, ppd_freqpoly, ppd_freqpoly_grouped, ppd_hist, ppd_intervals, ppd_intervals_data, ppd_intervals_grouped, ppd_ribbon, ppd_ribbon_data, ppd_ribbon_grouped, ppd_stat, ppd_stat_2d, ppd_stat_data, ppd_stat_freqpoly, ppd_stat_freqpoly_grouped, ppd_stat_grouped
1.8.1
record
2021-06-14 · diff ↗
R
R 4.1.0 released · 2021-05-18

Show 16 earlier eventsHide 16 earlier events

1.8.0
record
2021-01-10 · diff ↗ ·
added 4 exports
ppc_dens_overlay_grouped, ppc_ecdf_overlay_grouped, ppc_km_overlay, ppc_loo_pit_data
1.7.2
record
2020-05-28 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.7.1
record
2019-12-02 · diff ↗
1.7.0
record
2019-05-23 · diff ↗ ·
added 6 exports
mcmc_rank_hist, mcmc_rank_overlay, mcmc_trace_data, param_glue, param_range, vars
R
R 3.6.0 released · 2019-04-26
1.6.0
record
2018-08-02 · diff ↗ ·
added 4 exports
bayesplot_theme_get, bayesplot_theme_replace, bayesplot_theme_set, bayesplot_theme_update
R
R 3.5.0 released · 2018-04-23
1.5.0
record
2018-03-30 · diff ↗ ·
added 9 exports
mcmc_areas_data, mcmc_areas_ridges, mcmc_areas_ridges_data, mcmc_dens_chains, mcmc_dens_chains_data, mcmc_intervals_data, ppc_data, ppc_loo_pit_overlay, ppc_loo_pit_qq
1.4.0
record
2017-09-12 · diff ↗ ·
added 9 exports
mcmc_neff_data, mcmc_parcoord, mcmc_parcoord_data, mcmc_rhat_data, parcoord_style_np, ppc_intervals_data, ppc_ribbon_data, scatter_style_np, trace_style_np
1.3.0
record
2017-08-07 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.2.0
record
2017-04-12 · diff ↗ ·
added 14 exports
abline_01, mcmc_hex, mcmc_pairs, mcmc_recover_hist, mcmc_recover_scatter, overlay_function, pairs_condition, pairs_style_np, ppc_bars, ppc_bars_grouped, ppc_loo_intervals, ppc_loo_pit, ppc_loo_ribbon, ppc_rootogram
1.1.0
record
2016-12-20 · diff ↗ ·
added 3 exports
bayesplot_grid, mcmc_recover_intervals, ppc_error_hist_grouped
1.0.0
record
2016-11-18
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-11-18
Total releases: 21 / 10 yrs
License: GPL (>= 3) OSI
Additional repositories: stan-dev.r-universe.dev
Minimum R: ≥ 4.1.0
Download size: 5.0 MB

Appears in task views

Bayesian Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayesplot")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bayesplot version 1.16.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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