carlislerainey/separation: Using informative priors to deal with separation in logistic regression models

Provides a set of computational tools to compute the partial prior predictive distribution, as well as tools MCMC estimation and plotting inferences.

Getting started

Package details

AuthorCarlisle Rainey
MaintainerCarlisle Rainey <[email protected]>
LicenseMIT + file LICENSE
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("carlislerainey/separation")
carlislerainey/separation documentation built on May 11, 2017, 11:05 p.m.