binomlogit: Efficient MCMC for Binomial Logit Models

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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).

Author
Agnes Fussl
Date of publication
2014-03-12 18:11:36
Maintainer
Agnes Fussl <avf@gmx.at>
License
GPL-3
Version
1.2

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Man pages

binomlogit-package
Efficient MCMC for Binomial Logit Models
caesarean
Caesarean Birth Data
dRUMAuxMix
Auxiliary mixture sampling for the binomial logit model
dRUMHAM
Hybrid auxiliary mixture sampling for the binomial logit...
dRUMIndMH
Data-augmented independence Metropolis-Hastings sampling for...
IndivdRUMIndMH
Data-augmented independence Metropolis-Hastings sampling for...
simul
Simulated data set

Files in this package

binomlogit
binomlogit/NAMESPACE
binomlogit/data
binomlogit/data/caesarean.rda
binomlogit/data/caesarean_binary.rda
binomlogit/data/simul.rda
binomlogit/data/simul_binary.rda
binomlogit/data/caesarean_aux.rda
binomlogit/R
binomlogit/R/dRUMIndMH.R
binomlogit/R/print.binomlogit.R
binomlogit/R/compmix.R
binomlogit/R/summary.binomlogit.R
binomlogit/R/dRUMHAM.R
binomlogit/R/IndivdRUMIndMH.R
binomlogit/R/dRUMAuxMix.R
binomlogit/R/plot.binomlogit.R
binomlogit/MD5
binomlogit/DESCRIPTION
binomlogit/man
binomlogit/man/caesarean.Rd
binomlogit/man/simul.Rd
binomlogit/man/dRUMAuxMix.Rd
binomlogit/man/dRUMHAM.Rd
binomlogit/man/IndivdRUMIndMH.Rd
binomlogit/man/binomlogit-package.Rd
binomlogit/man/dRUMIndMH.Rd