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: 1.5
Imports: MCMCpack
Suggests: coda, knitr, MASS
Published: 2021-10-28
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter at>
License: GPL-2
NeedsCompilation: no
In views: Bayesian
CRAN checks: bayesanova results


Reference manual: bayesanova.pdf


Package source: bayesanova_1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayesanova_1.5.tgz, r-oldrel (arm64): bayesanova_1.5.tgz, r-release (x86_64): bayesanova_1.5.tgz, r-oldrel (x86_64): bayesanova_1.5.tgz
Old sources: bayesanova archive


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