R Observatory: Metrics for bayesDiagnostics version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayesDiagnostics

0.1.0Package record

Comprehensive Bayesian Model Diagnostics and Comparison Tools

0packages depend

4.6Kdownloads / year

60.2%test coverage

13/13flavors OK

Overview

About

Maintained by Ibrahim Kholil RakibCRAN page ↗GitHub ↗Issues ↗

Provides comprehensive tools for Bayesian model diagnostics and comparison. Includes prior sensitivity analysis, posterior predictive checks (Gelman et al. (2013) doi:10.1201/b16018), advanced model comparison using Pareto-smoothed importance sampling leave-one-out cross-validation (Vehtari et al. (2017) doi:10.1007/s11222-016-9696-4), convergence diagnostics, and prior elicitation tools. Integrates with 'brms' (Burkner (2017) doi:10.18637/jss.v080.i01), 'rstan', and 'rstanarm' packages for comprehensive Bayesian workflow diagnostics.

Changes in 0.1.0

Initial CRAN Release

New Features

**MCMC Diagnostics** (3 functions)
mcmc_diagnostics_summary(): Comprehensive convergence checks
effective_sample_size_diagnostics(): Detailed ESS analysis
hierarchical_convergence(): Hierarchical model diagnostics
**Posterior Predictive Checks** (5 functions)
posterior_predictive_check(): Full PPC with test statistics
automated_ppc(): Automated diagnostic screening
graphical_ppc(): Publication-quality visualizations
ppc_crossvalidation(): LOO-PIT calibration checks
bayesian_p_values(): Custom test statistic utilities

Show all changes in 0.1.0Hide the rest of the changes in 0.1.0

**Prior Specification & Sensitivity** (3 functions)
prior_elicitation_helper(): Expert knowledge → priors
prior_sensitivity(): Robustness assessment
prior_robustness(): Multi-dimensional sensitivity
**Model Comparison** (3 functions)
model_comparison_suite(): LOO/WAIC/Bayes R² comparison
bayes_factor_comparison(): Bridge sampling Bayes Factors
predictive_performance(): Predictive accuracy metrics
**Utilities & Reporting** (4 functions)
extract_posterior_unified(): Cross-package posterior extraction
diagnostic_report(): HTML/PDF report generation

Package Integration

Seamless integration with brms, rstan, and rstanarm
Support for cmdstanr and coda packages
Comprehensive vignette with 18 function examples
Complete workflow demonstration

Documentation

800+ line introductory vignette
Complete function reference documentation
Interpretation guidelines for all diagnostics
Further reading section with key references

From NEWS.md in the release

Install

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

install.packages("bayesDiagnostics", 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("ikrakib/bayesDiagnostics")

Development version from ikrakib/bayesDiagnostics. 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-bayesdiagnostics

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-bayesDiagnostics

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-bayesDiagnostics

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

13OK

CRAN check page ↗

Slowest check: 9.7 min · r-release-linux-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 266 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 71 (52 internal)includes a package overview page
Examples that run: 0%4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 25%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Introduction to bayesDiagnostics HTML

How these are measured

Downloads

4.6K

CRAN downloads in the past year

Rank #11,172 · ~12/day · ~379/mo

Releases R versions

Daily download trend is not available in this view yet.

31630 days

95790 days

4.6K1 year

Compare downloads with other packages →

Also on77 r2u19 autocran

How downloads are counted

Repository

ikrakib/bayesdiagnostics ↗Account: ikrakib

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-08-02

Responsiveness

not measured

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/ikrakib/bayesdiagnostics on 2026-10-22.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing bayesDiagnostics adds 72 packages (35 with compiled code, 75 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.1.0

Imports (10)

brms checkmate ggplot2 gridExtra loo posterior matrixStats bridgesampling rstan tidyr

LinkingTo (0)

none

Suggests (12)

bayesplot covr knitr magrittr purrr rmarkdown rstanarm scales (>= 1.2.0)spelling testthat tibble lme4

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Ibrahim Kholil Rakib

Author, Maintainer since 0.1.0 (2026)

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2026-01-14 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-01-14
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 73 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayesDiagnostics")

Format

Rakib, I. K. (2026). bayesDiagnostics: Comprehensive Bayesian Model Diagnostics and Comparison Tools (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.bayesDiagnostics

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bayesDiagnostics version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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