Package: endorse 1.6.2
Yuki Shiraito
endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments
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:
endorse_1.6.2.tar.gz
endorse_1.6.2.zip(r-4.5)endorse_1.6.2.zip(r-4.4)endorse_1.6.2.zip(r-4.3)
endorse_1.6.2.tgz(r-4.4-x86_64)endorse_1.6.2.tgz(r-4.4-arm64)endorse_1.6.2.tgz(r-4.3-x86_64)endorse_1.6.2.tgz(r-4.3-arm64)
endorse_1.6.2.tar.gz(r-4.5-noble)endorse_1.6.2.tar.gz(r-4.4-noble)
endorse_1.6.2.tgz(r-4.4-emscripten)endorse_1.6.2.tgz(r-4.3-emscripten)
endorse.pdf |endorse.html✨
endorse/json (API)
| # Install 'endorse' in R: |
| install.packages('endorse', repos = c('https://sensitivequestions.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sensitivequestions/endorse/issues
- pakistan - Pakistan Survey Experiment on Support for Militant Groups
Last updated 3 years agofrom:6ce3bd0749. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win-x86_64 | OK | Nov 13 2024 |
| R-4.5-linux-x86_64 | OK | Nov 13 2024 |
| R-4.4-win-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-aarch64 | OK | Nov 13 2024 |
| R-4.3-win-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-aarch64 | OK | Nov 13 2024 |
