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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>.
Getting started
Browse package contents
Package details |
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| Author | Riko Kelter |
| Maintainer | Riko Kelter <riko_k@gmx.de> |
| License | GPL-2 |
| Version | 1.6 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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