Package: bayesanova 1.6

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>.

Authors:Riko Kelter

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bayesanova.pdf |bayesanova.html✨
bayesanova/json (API)

# Install 'bayesanova' in R:
install.packages('bayesanova', repos = c('https://rikoke.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 4 scripts 418 downloads 4 exports 10 dependencies

Last updated 9 months agofrom:2381be8265. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:anovaplotassumption.checkbayes.anovapost.pred.check

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival

Readme and manuals

Help Manual

Help pageTopics
Bayesian ANOVAbayesanova-package
anovaplotanovaplot
assumption.checkassumption.check
bayes.anovabayes.anova
post.pred.checkpost.pred.check