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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 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).
Package details |
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Author | Agnes Fussl |
Maintainer | Agnes Fussl <avf@gmx.at> |
License | GPL-3 |
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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