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BayesTools: Tools for Bayesian Analyses

Provides tools for conducting Bayesian analyses and Bayesian model averaging (Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>, Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.

Version: 0.2.17
Depends: stats
Imports: graphics, extraDistr, mvtnorm, coda, bridgesampling, parallel, ggplot2, Rdpack, rlang
Suggests: scales, testthat, vdiffr, covr, knitr, rstan, rjags, runjags, BayesFactor, rmarkdown
Published: 2024-02-20
DOI: 10.32614/CRAN.package.BayesTools
Author: František Bartoš ORCID iD [aut, cre]
Maintainer: František Bartoš <f.bartos96 at gmail.com>
BugReports: https://github.com/FBartos/BayesTools/issues
License: GPL-3
URL: https://fbartos.github.io/BayesTools/
NeedsCompilation: no
SystemRequirements: JAGS >= 4.3.0 (https://mcmc-jags.sourceforge.io/)
Citation: BayesTools citation info
Materials: README NEWS
CRAN checks: BayesTools results

Documentation:

Reference manual: BayesTools.pdf
Vignettes: Comparison to other R packages
Bayes factors via spike and slab prior vs. bridge sampling

Downloads:

Package source: BayesTools_0.2.17.tar.gz
Windows binaries: r-devel: BayesTools_0.2.17.zip, r-release: BayesTools_0.2.17.zip, r-oldrel: BayesTools_0.2.17.zip
macOS binaries: r-release (arm64): BayesTools_0.2.17.tgz, r-oldrel (arm64): BayesTools_0.2.17.tgz, r-release (x86_64): BayesTools_0.2.17.tgz, r-oldrel (x86_64): BayesTools_0.2.17.tgz
Old sources: BayesTools archive

Reverse dependencies:

Reverse imports: RoBMA, RoBSA, RoBTT

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesTools 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.
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