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The R package contains different MCMC schemes to estimate the regression coefficients of a binomial (or binary) logit model within a Bayesian framework: a dataaugmented independence MHsampler, an auxiliary mixture sampler and a hybrid auxiliary mixture (HAM) sampler. All sampling procedures are based on algorithms using data augmentation, where the regression coefficients are estimated by rewriting the logit model as a latent variable model called difference random utility model (dRUM).
Package details 


Author  Agnes Fussl 
Maintainer  Agnes Fussl <[email protected]> 
License  GPL3 
Version  1.2 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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