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) <arXiv:1906.07524>.

Version: 1.4
Suggests: MCMCpack, coda, knitr
Published: 2020-05-31
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter at uni-siegen.de>
License: GPL-2
NeedsCompilation: no
CRAN checks: bayesanova results

Documentation:

Reference manual: bayesanova.pdf

Downloads:

Package source: bayesanova_1.4.tar.gz
Windows binaries: r-devel: bayesanova_1.4.zip, r-release: bayesanova_1.4.zip, r-oldrel: bayesanova_1.4.zip
macOS binaries: r-release (arm64): bayesanova_1.4.tgz, r-release (x86_64): bayesanova_1.4.tgz, r-oldrel: bayesanova_1.4.tgz
Old sources: bayesanova archive

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