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BayesLogit (version 0.3)

Logistic Regression

Description

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.

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Version

Install

install.packages('BayesLogit')

Monthly Downloads

801

Version

0.3

License

GPL (>= 3)

Maintainer

Jesse Windle

Last Published

April 23rd, 2014

Functions in BayesLogit (0.3)

spambase

Spambase Data
draw.ar1.ind

AR1 Tools
ar1.llh

AR1 Tools
CUBS

Conjugate Update Backward Sample
mlogit

Bayesian Multinomial Logistic Regression
rain

Tokyo Rainfall
logit.combine

Collapse Data for Binomial Logistic Regression
logit

Default Bayesian Logistic Regression
draw.indicators

Draw Indicators
compute.mixture

Compute Mixture
rpg

The Polya-Gamma Distribution
rks

The Kolmogorov-Smirnov distribution
logit.EM

Logistic Regression Expectation Maximization