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pogit (version 1.3.0)

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

182

Version

1.3.0

License

GPL-2

Maintainer

Michaela Dvorzak

Last Published

May 25th, 2022

Functions in pogit (1.3.0)

print.pogit

Print an object of class pogit
simul_pois1

Simulated data set
simul_pois2

Simulated data set
simul1

Simulated data set
summary.pogit

Summary for posterior of a pogit object
pogit-package

Bayesian variable selection for a Poisson-Logistic model
cervical_validation

Cervical cancer valiation data
cervical

Cervical cancer data
pogitBvs

Bayesian variable selection for the Pogit model
negbinBvs

Bayesian variable selection for the negative binomial model
simul2

Simulated data set
poissonBvs

Bayesian variable selection for the Poisson model
simul_binomial

Simulated data set
logitBvs

Bayesian variable selection for the binomial logit model
plot.pogit

Plot an object of class pogit