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bayesDiagnostics: Comprehensive Bayesian Model Diagnostics and Comparison Tools

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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: brms (≥ 2.18.0), checkmate (≥ 2.1.0), ggplot2 (≥ 3.4.0), gridExtra, loo (≥ 2.5.0), posterior (≥ 1.0.0), matrixStats, bridgesampling, rstan (≥ 2.26.0), tidyr (≥ 1.3.0)
Suggests: bayesplot (≥ 1.10.0), covr, knitr, magrittr (≥ 2.0.0), purrr (≥ 1.0.0), rmarkdown, rstanarm (≥ 2.21.0), scales (≥ 1.2.0), spelling, testthat (≥ 3.0.0), tibble (≥ 3.2.0), lme4
Published: 2026-01-14
DOI: 10.32614/CRAN.package.bayesDiagnostics (may not be active yet)
Author: Ibrahim Kholil Rakib [aut, cre]
Maintainer: Ibrahim Kholil Rakib <ikrakib1010 at gmail.com>
BugReports: https://github.com/ikrakib/bayesDiagnostics/issues
License: MIT + file LICENSE
URL: https://github.com/ikrakib/bayesDiagnostics
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: bayesDiagnostics results

Documentation:

Reference manual: bayesDiagnostics.html , bayesDiagnostics.pdf
Vignettes: Introduction to bayesDiagnostics (source, R code)

Downloads:

Package source: bayesDiagnostics_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): bayesDiagnostics_0.1.0.tgz, r-oldrel (arm64): bayesDiagnostics_0.1.0.tgz, r-release (x86_64): bayesDiagnostics_0.1.0.tgz, r-oldrel (x86_64): bayesDiagnostics_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bayesDiagnostics to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.