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.
Package details |
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Author | Yuki Shiraito [aut, cre], Kosuke Imai [aut], Bryn Rosenfeld [ctb] |
Maintainer | Yuki Shiraito <shiraito@umich.edu> |
License | GPL (>=2) |
Version | 1.6.2 |
URL | https://github.com/SensitiveQuestions/endorse/ |
Package repository | View on GitHub |
Installation |
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