airbornemint/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 binomial and binomial logit regression models using spike and slab priors. Dvorzak, M., & Wagner, H. (2016) <doi:10.1177/1471082X15588398>
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Package details |
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| Maintainer | |
| License | GPL-2 |
| Version | 1.1.1 |
| Package repository | View on GitHub |
| Installation |
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