Package: stratEst 1.1.8
stratEst: Strategy Estimation
Variants of strategy estimation (Dal Bo & Frechette, 2011, <doi:10.1257/aer.101.1.411>), including the model with parameters for the choice probabilities of the strategies (Breitmoser, 2015, <doi:10.1257/aer.20130675>), and the model with individual level covariates for the selection of strategies by individuals (Dvorak & Fehrler, 2018, <doi:10.2139/ssrn.2986445>).
Authors:
stratEst_1.1.8.tar.gz
stratEst_1.1.8.tar.gz(r-4.7-arm64)stratEst_1.1.8.tar.gz(r-4.7-x86_64)stratEst_1.1.8.tar.gz(r-4.6-arm64)stratEst_1.1.8.tar.gz(r-4.6-x86_64)
stratEst_1.1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
stratEst/json (API)
| # Install 'stratEst' in R: |
| install.packages('stratEst', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fdvorak/stratest/issues
- data.DF2011 - Data of Dal Bo and Frechette
- data.DFS2020 - Data of Dvorak, Fischbacher and Schmelz
- data.FRD2012 - Data of Fudenberg, Rand, and Dreber
- data.WXZ2014 - Data of the rock-paper-scissors game from Wang, Xu, and Zhou
- DF2011 - Data of Dal Bo and Frechette
- DFS2020 - Data of Dvorak, Fischbacher and Schmelz
- FRD2012 - Data of Fudenberg, Rand, and Dreber
- strategies.DF2011 - Strategies.DF2011
- strategies.DFS2020 - Strategies.DFS2020
- strategies.FRD2012 - Strategies.FRD2012
- strategies.PD - Strategies.PD
- strategies.RPS - Strategies.RPS
- WXZ2014 - Data of the rock-paper-scissors game from Wang, Xu, and Zhou
Last updated from:a6373b23d8. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 214 | ||
| linux-devel-x86_64 | OK | 190 | ||
| source / vignettes | OK | 243 | ||
| linux-release-arm64 | OK | 193 | ||
| linux-release-x86_64 | OK | 178 | ||
| wasm-release | OK | 127 |
Exports:is.stratEst.checkis.stratEst.datais.stratEst.modelis.stratEst.strategystratEststratEst.checkstratEst.datastratEst.modelstratEst.simulatestratEst.strategystratEst.test
Dependencies:RcppRcppArmadillo
