bayesanova: Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models

Provides a Bayesian version of the analysis of variance based on a three-component Gaussian mixture for which a Gibbs sampler produces posterior draws. For details about the Bayesian ANOVA based on Gaussian mixtures, see Kelter (2019) <doi:10.48550/arXiv.1906.07524>.

Version:	1.6
Imports:	MCMCpack
Suggests:	coda, knitr, MASS
Published:	2024-03-04
DOI:	10.32614/CRAN.package.bayesanova
Author:	Riko Kelter
Maintainer:	Riko Kelter <riko_k at gmx.de>
License:	GPL-2
NeedsCompilation:	no
In views:	Bayesian
CRAN checks:	bayesanova results

Documentation:

Reference manual:

bayesanova.pdf

Downloads:

Package source:	bayesanova_1.6.tar.gz
Windows binaries:	r-devel: bayesanova_1.6.zip, r-release: bayesanova_1.6.zip, r-oldrel: bayesanova_1.6.zip
macOS binaries:	r-release (arm64): bayesanova_1.6.tgz, r-oldrel (arm64): bayesanova_1.6.tgz, r-release (x86_64): bayesanova_1.6.tgz, r-oldrel (x86_64): bayesanova_1.6.tgz
Old sources:	bayesanova archive

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