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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.
Getting started
Browse package contents
Package details |
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| Author | Michaela Dvorzak [aut, cre], Helga Wagner [aut] |
| Maintainer | Michaela Dvorzak <m.dvorzak@gmx.at> |
| License | GPL-2 |
| Version | 1.3.0 |
| Package repository | View on CRAN |
| Installation |
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