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
DOI: 10.32614/CRAN.package.pogit
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


Reference manual: pogit.pdf


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


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