ptycho
Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical priors. There is a prior that combines information across responses and one that combines information across covariates, as well as a standard spike and slab prior for comparison. An MCMC samples from the marginal posterior distribution for the 0-1 variables indicating if each covariate belongs to the model for each response.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1-5 |
rolling linux/jammy R-4.5 | ptycho_1.1-5.tar.gz |
212.0 KiB |
1.1-5 |
rolling linux/noble R-4.5 | ptycho_1.1-5.tar.gz |
211.9 KiB |
1.1-5 |
rolling source/ R- | ptycho_1.1-5.tar.gz |
97.2 KiB |
1.1-5 |
latest linux/jammy R-4.5 | ptycho_1.1-5.tar.gz |
212.0 KiB |
1.1-5 |
latest linux/noble R-4.5 | ptycho_1.1-5.tar.gz |
211.9 KiB |
1.1-5 |
latest source/ R- | ptycho_1.1-5.tar.gz |
97.2 KiB |
1.1-5 |
2026-04-26 source/ R- | ptycho_1.1-5.tar.gz |
97.2 KiB |
1.1-5 |
2026-04-23 source/ R- | ptycho_1.1-5.tar.gz |
97.2 KiB |
1.1-5 |
2026-04-09 windows/windows R-4.5 | ptycho_1.1-5.zip |
214.8 KiB |
1.1-5 |
2025-04-20 source/ R- | ptycho_1.1-5.tar.gz |
97.2 KiB |