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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