BayesLogit: Logistic Regression

The BayesLogit package does posterior simulation for binomial and multinomial logistic regression using the Polya-Gamma latent variable technique. This method is fully automatic, exact, and fast. A routine to efficiently sample from the Polya-Gamma class of distributions is included.

Install the latest version of this package by entering the following in R:
install.packages("BayesLogit")
AuthorNicholas G. Polson, James G. Scott, and Jesse Windle
Date of publication2016-10-20 00:13:36
MaintainerJesse Windle <jesse.windle@gmail.com>
LicenseGPL (>= 3)
Version0.6

View on CRAN

Files

COPYING
inst
inst/CITATION
inst/set.bash
inst/Dynamic
inst/Dynamic/Makevars
inst/Dynamic/NAMESPACE
inst/Dynamic/R
inst/Dynamic/R/CUBS.R
inst/Dynamic/DESCRIPTION
inst/Dynamic/man
inst/Dynamic/man/CUBS.Rd
inst/Dynamic/man/AR1.Rd
inst/Dynamic/man/AR1Ind.Rd
inst/Static
inst/Static/Makevars
inst/Static/NAMESPACE
inst/Static/DESCRIPTION
src
src/LogitWrapper.cpp
src/PolyaGammaAlt.h
src/Makevars
src/PolyaGammaSP.h
src/DynExpFamMH.h
src/CUBS.h
src/CUBS.cpp
src/MultLogit.h
src/Matrix.cpp
src/Matrix.h
src/RRNG.cpp
src/PolyaGamma.cpp
src/Normal.h
src/CUBS_update.cpp
src/RNG.h
src/RRNG.h
src/InvertY.cpp
src/MatrixFrame.h
src/InvertY.h
src/AR1.h
src/FSF_nmix.h
src/PolyaGammaAlt.cpp
src/PolyaGamma.h
src/Logit.h
src/RNG.cpp
src/AR1.cpp
src/FSF_nmix.cpp
src/MatrixFrame.cpp
src/DynExpFamMH.cpp
src/PolyaGammaSP.cpp
src/CUBS_update.h
src/LogitWrapper.h
NAMESPACE
data
data/spambase.RData
data/rain.RData
R
R/Indicators.R R/DynExpFamMHWrapper.R R/ComputeMixture.R R/PG.R R/KS.R R/AR1.R R/MultLogitPG.R R/Multinomial.R R/compmix.R R/logit-EM.R R/LogitWrapper.R R/Logit-Indicators.R R/logit-combine.R R/FFBS.R R/LogitPG.R
MD5
DESCRIPTION
man
man/rks.Rd man/logit.combine.Rd man/compute.mixture.Rd man/rain.Rd man/draw.indicators.Rd man/rpg.Rd man/mlogit.Rd man/spambase.Rd man/logit.Rd man/logit.EM.Rd

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