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.
| Version: | 1.1-4 |
| Depends: | R (≥ 3.0.0) |
| Imports: | coda, plyr, reshape2 |
| Suggests: | foreach, doRNG |
| Published: | 2015-11-12 |
| Author: | Laurel Stell and Chiara Sabatti |
| Maintainer: | Laurel Stell <lstell at stanford.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | web.stanford.edu/~lstell/ptycho/ |
| NeedsCompilation: | no |
| CRAN checks: | ptycho results |
| Reference manual: | ptycho.pdf |
| Package source: | ptycho_1.1-4.tar.gz |
| Windows binaries: | r-devel: ptycho_1.1-4.zip, r-release: ptycho_1.1-4.zip, r-oldrel: ptycho_1.1-4.zip |
| macOS binaries: | r-release: ptycho_1.1-4.tgz, r-oldrel: ptycho_1.1-4.tgz |
| Old sources: | ptycho archive |
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