Package: pogit
Type: Package
Title: Bayesian Variable Selection for a Poisson-Logistic Model
Version: 1.3.0
Date: 2022-05-24
Authors@R: c(person("Michaela", "Dvorzak", role = c("aut","cre"), 
  email = "m.dvorzak@gmx.at"),
  person("Helga", "Wagner", role = "aut"))
Author: Michaela Dvorzak [aut, cre],
  Helga Wagner [aut]
Maintainer: Michaela Dvorzak <m.dvorzak@gmx.at>
Description: 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.
License: GPL-2
Encoding: UTF-8
Depends: R(>= 2.10.0)
Imports: ggplot2, logistf, plyr, stats, utils, grDevices
LazyData: true
Suggests: COUNT
RoxygenNote: 7.2.0
NeedsCompilation: no
Packaged: 2022-05-24 18:22:17 UTC; michi
Repository: CRAN
Date/Publication: 2022-05-25 15:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 03:08:26 UTC; unix
