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bayesanova  

Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models
View on CRAN: Click here


Download and install bayesanova package within the R console
Install from CRAN:
install.packages("bayesanova")

Install from Github:
library("remotes")
install_github("cran/bayesanova")

Install by package version:
library("remotes")
install_version("bayesanova", "1.6")



Attach the package and use:
library("bayesanova")
Maintained by
Riko Kelter
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-25
Latest Update: 2024-03-04
Description:
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) .
How to cite:
Riko Kelter (2019). bayesanova: Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models. R package version 1.6, https://cran.r-project.org/web/packages/bayesanova. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.2 (2019-11-25 10:50), 1.3 (2020-02-11 08:30), 1.4 (2020-05-31 03:40), 1.5 (2021-10-28 15:40)
Other packages that cited bayesanova R package
View bayesanova citation profile
Other R packages that bayesanova depends, imports, suggests or enhances
Complete documentation for bayesanova
Functions, R codes and Examples using the bayesanova R package
Some associated functions: anovaplot . assumption.check . bayes.anova . bayesANOVA-package . post.pred.check . 
Some associated R codes: bayes.anova.R .  Full bayesanova package functions and examples
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