Bayesian Variable Selection for a Poisson-Logistic Model [R package pogit version 1.3.0]

pogit: Bayesian Variable Selection for a Poisson-Logistic Model

Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.

Version:	1.3.0
Depends:	R (≥ 2.10.0)
Imports:	ggplot2, logistf, plyr, stats, utils, grDevices
Suggests:	COUNT
Published:	2022-05-25
Author:	Michaela Dvorzak [aut, cre], Helga Wagner [aut]
Maintainer:	Michaela Dvorzak <m.dvorzak at gmx.at>
License:	GPL-2
NeedsCompilation:	no
Citation:	pogit citation info
Materials:	NEWS
CRAN checks:	pogit results

Documentation:

Reference manual:

pogit.pdf

Downloads:

Package source:	pogit_1.3.0.tar.gz
Windows binaries:	r-devel: pogit_1.3.0.zip, r-release: pogit_1.3.0.zip, r-oldrel: pogit_1.3.0.zip
macOS binaries:	r-release (arm64): pogit_1.3.0.tgz, r-oldrel (arm64): pogit_1.3.0.tgz, r-release (x86_64): pogit_1.3.0.tgz, r-oldrel (x86_64): pogit_1.3.0.tgz
Old sources:	pogit archive

Linking:

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