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-4.7)endorse_1.6.2.zip(r-4.6)endorse_1.6.2.zip(r-4.5)
endorse_1.6.2.tgz(r-4.6-x86_64)endorse_1.6.2.tgz(r-4.6-arm64)endorse_1.6.2.tgz(r-4.5-x86_64)endorse_1.6.2.tgz(r-4.5-arm64)
endorse_1.6.2.tar.gz(r-4.7-arm64)endorse_1.6.2.tar.gz(r-4.7-x86_64)endorse_1.6.2.tar.gz(r-4.6-arm64)endorse_1.6.2.tar.gz(r-4.6-x86_64)
endorse_1.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:6ce3bd0749. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 130 | ||
| linux-devel-x86_64 | OK | 154 | ||
| source / vignettes | OK | 152 | ||
| linux-release-arm64 | OK | 131 | ||
| linux-release-x86_64 | OK | 101 | ||
| macos-release-arm64 | OK | 164 | ||
| macos-release-x86_64 | OK | 263 | ||
| macos-oldrel-arm64 | OK | 157 | ||
| macos-oldrel-x86_64 | OK | 276 | ||
| windows-devel | OK | 68 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 91 |
