saudiwin/idealstan: Bayesian IRT Ideal Point Models with Stan
Version 0.1

This package offers ideal-point scaling methods that incorporate additional response categories and missing/censored values, including absences and abstentions, for rollcall voting data (or any other kind of binary or ordinal item-response theory data). Full and approximate Bayesian inference is done via the Stan engine (www.mc-stan.org).

Getting started

Package details

AuthorRobert Kubinec
MaintainerRobert Kubinec <[email protected]>
LicenseGPL
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("saudiwin/idealstan")
saudiwin/idealstan documentation built on Aug. 12, 2017, 7:47 a.m.