Package: binomlogit
Type: Package
Title: Efficient MCMC for Binomial Logit Models
Version: 1.2
Date: 2014-03-12
Author: Agnes Fussl
Maintainer: Agnes Fussl <avf@gmx.at>
Description: The R package contains different MCMC schemes to estimate the regression coefficients of a binomial (or binary) logit model within a Bayesian framework: a data-augmented independence MH-sampler, 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).
License: GPL-3
Packaged: 2014-03-12 13:55:28 UTC; fussl
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-12 18:11:36
Built: R 3.1.0; ; 2014-03-27 13:50:16 UTC; unix
