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pogit (version 1.1.0)

Bayesian Variable Selection for a Poisson-Logistic Model

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.

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Version

Install

install.packages('pogit')

Monthly Downloads

168

Version

1.1.0

License

GPL-2

Maintainer

Michaela Dvorzak

Last Published

April 6th, 2016

Functions in pogit (1.1.0)

logitBvs

Bayesian variable selection for the binomial logit model

pogit-package

Bayesian variable selection for a Poisson-Logistic model

negbinBvs

Bayesian variable selection for the negative binomial model

pogitBvs

Bayesian variable selection for the Pogit model

Bayesian variable selection for the Poisson model

simul_binomial

Simulated data set

cervical_validation

Cervical cancer valiation data

plot.pogit

Plot an object of class pogit

simul_pois1

Simulated data set

print.pogit

Print an object of class pogit

summary.pogit

Summary for posterior of a pogit object