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bayesDiagnostics  

Comprehensive Bayesian Model Diagnostics and Comparison Tools
View on CRAN: Click here


Download and install bayesDiagnostics package within the R console
Install from CRAN:
install.packages("bayesDiagnostics")

Install from Github:
library("remotes")
install_github("cran/bayesDiagnostics")

Install by package version:
library("remotes")
install_version("bayesDiagnostics", "0.1.0")



Attach the package and use:
library("bayesDiagnostics")
Maintained by
Ibrahim Kholil Rakib
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-14
Latest Update: 2026-01-14
Description:
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.
How to cite:
Ibrahim Kholil Rakib (2026). bayesDiagnostics: Comprehensive Bayesian Model Diagnostics and Comparison Tools. R package version 0.1.0, https://cran.r-project.org/web/packages/bayesDiagnostics. Accessed 20 Oct. 2026.
Previous versions and publish date:
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Complete documentation for bayesDiagnostics
Functions, R codes and Examples using the bayesDiagnostics R package
Full bayesDiagnostics package functions and examples
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