endorse: R Package for Analyzing Endorsement Experiments

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.

Version: 1.5.0
Depends: coda, utils
Published: 2016-10-22
Author: Yuki Shiraito [aut, cre], Kosuke Imai [aut], Bryn Rosenfeld [ctb]
Maintainer: Yuki Shiraito <shiraito at princeton.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://imai.princeton.edu/software/endorse.html
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: endorse results


Reference manual: endorse.pdf
Package source: endorse_1.5.0.tar.gz
Windows binaries: r-devel: endorse_1.5.0.zip, r-release: endorse_1.5.0.zip, r-oldrel: endorse_1.5.0.zip
OS X Mavericks binaries: r-release: endorse_1.5.0.tgz, r-oldrel: endorse_1.5.0.tgz
Old sources: endorse archive


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