pogit

R package 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.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element


References in zbMATH (referenced in 1 article )

Showing result 1 of 1.
Sorted by year (citations)

  1. Dvorzak, Michaela; Wagner, Helga: Sparse Bayesian modelling of underreported count data (2016)