CRAN/E | ptycho

ptycho

Bayesian Variable Selection with Hierarchical Priors

Installation

About

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.

Key Metrics

Version 1.1-4
R ≥ 3.0.0
Published 2015-11-12 3256 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks ptycho results

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Maintainer

Maintainer

Laurel Stell

Authors

Laurel Stell
Chiara Sabatti

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ptycho archive

Depends

R ≥ 3.0.0

Imports

coda
plyr
reshape2

Suggests

foreach
doRNG