R endorse package for analyzing survey endorsement experiments
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
R
data
docs
man
src
.Rbuildignore
.gitignore
.travis.yml
ChangeLog
DESCRIPTION
NAMESPACE
README.md
_pkgdown.yml

README.md

R package endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments

by Yuki Shiraito and Kosuke Imai

Travis-CI Build Status CRAN_Status_Badge

This package fits the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.