Title: endorse: R Package for Analyzing Endorsement Experiments
Author: Yuki Shiraito <shiraito@princeton.edu>, Kosuke Imai
Description: This R package implements the statistical model proposed
by Bullock, Imai, and Shapiro (2011; Political Analysis) 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 the Markov chain
Monte Carlo algorithm and produces the output containing draws

Title: R Package for Analyzing Endorsement Experiments

Author: Yuki Shiraito <shiraito@princeton.edu>, Kosuke Imai <kimai@princeton.edu>
Description: This R package implements the statistical model proposed by Bullock, Imai, and Shapiro (2011; Political Analysis) 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 the Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.

Authors@R: c(person("Yuki", "Shiraito", role = c("aut","cre"), email = "shiraito@princeton.edu"),
person("Kosuke", "Imai", role = "aut", email = "kimai@princeton.edu"),
person("Bryn", "Rosenfeld", role = "ctb", email = "brosenfe@usc.edu"))
Author: Yuki Shiraito [aut, cre], Kosuke Imai [aut], Bryn Rosenfeld [ctb]

Title: Bayesian Measurement Models for Analyzing Endorsement
Description: 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.