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.

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

Downloads:

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
OS X El Capitan binaries: r-release: ptycho_1.1-4.tgz
OS X Mavericks binaries: r-oldrel: ptycho_1.1-4.tgz
Old sources: ptycho archive

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