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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "endorse" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments'
version: 1.6.2
doi: 10.32614/CRAN.package.endorse
abstract: Fit the hierarchical and non-hierarchical Bayesian measurement models proposed
  by Bullock, Imai, and Shapiro (2011) <DOI:10.1093/pan/mpr031> 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.
authors:
- family-names: Shiraito
  given-names: Yuki
  email: shiraito@umich.edu
- family-names: Imai
  given-names: Kosuke
  email: imai@harvard.edu
repository: https://CRAN.R-project.org/package=endorse
repository-code: https://github.com/SensitiveQuestions/endorse/
url: https://github.com/SensitiveQuestions/endorse/
date-released: '2022-05-02'
contact:
- family-names: Shiraito
  given-names: Yuki
  email: shiraito@umich.edu