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
DOI: 10.32614/CRAN.package.ptycho
Author: Laurel Stell and Chiara Sabatti
Maintainer: Laurel Stell <lstell at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ptycho results


Reference manual: ptycho.pdf


Package source: ptycho_1.1-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ptycho_1.1-4.tgz, r-oldrel (arm64): ptycho_1.1-4.tgz, r-release (x86_64): ptycho_1.1-4.tgz, r-oldrel (x86_64): ptycho_1.1-4.tgz
Old sources: ptycho archive


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