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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.6 |
rolling linux/jammy R-4.5 | bayesanova_1.6.tar.gz |
125.9 KiB |
1.6 |
rolling linux/noble R-4.5 | bayesanova_1.6.tar.gz |
125.8 KiB |
1.6 |
rolling source/ R- | bayesanova_1.6.tar.gz |
25.9 KiB |
1.6 |
latest linux/jammy R-4.5 | bayesanova_1.6.tar.gz |
125.9 KiB |
1.6 |
latest linux/noble R-4.5 | bayesanova_1.6.tar.gz |
125.8 KiB |
1.6 |
latest source/ R- | bayesanova_1.6.tar.gz |
25.9 KiB |
1.6 |
2026-04-26 source/ R- | bayesanova_1.6.tar.gz |
25.9 KiB |
1.6 |
2026-04-23 source/ R- | bayesanova_1.6.tar.gz |
25.9 KiB |
1.6 |
2026-04-09 windows/windows R-4.5 | bayesanova_1.6.zip |
128.4 KiB |
1.6 |
2025-04-20 source/ R- | bayesanova_1.6.tar.gz |
25.9 KiB |