elrm (version 1.2.5)

Exact Logistic Regression via MCMC

Description

Implements a Markov Chain Monte Carlo algorithm to approximate exact conditional inference for logistic regression models. Exact conditional inference is based on the distribution of the sufficient statistics for the parameters of interest given the sufficient statistics for the remaining nuisance parameters. Using model formula notation, users specify a logistic model and model terms of interest for exact inference. See Zamar et al. (2007) for more details.

Copy Link

Version

Down Chevron

Install

install.packages('elrm')

Monthly Downloads

265

Version

1.2.5

License

GPL (>= 2)

Maintainer

Last Published

October 26th, 2021

Functions in elrm (1.2.5)