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BayesLogit (version 0.5.1)

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

0.5.1

License

GPL (>= 3)

Maintainer

Jesse Windle

Last Published

July 21st, 2014

Functions in BayesLogit (0.5.1)

draw.ar1.ind

AR1 Tools
logit.EM

Logistic Regression Expectation Maximization
logit.combine

Collapse Data for Binomial Logistic Regression
rks

Kolmogorov-Smirnov Random Variates
mlogit

Bayesian Multinomial Logistic Regression
logit

Default Bayesian Logistic Regression
spambase

Spambase Data
rain

Tokyo Rainfall
draw.indicators

Draw Indicators
ar1.llh

AR1 Tools
compute.mixture

Compute Mixture
CUBS

Conjugate Update Backward Sample
rpg

Polya-Gamma Random Variates