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Implements the framework introduced in Di Francesco and Mellace (2025) <doi:10.48550/arXiv.2502.11691>, shifting the focus to well-defined and interpretable estimands that quantify how treatment affects the probability distribution over outcome categories. It supports selection-on-observables, instrumental variables, regression discontinuity, and difference-in-differences designs.
| Version: | 1.0.0 |
| Imports: | AER, caret, cli, ggplot2, ggsci, grf, lmtest, magrittr, ocf, rdrobust, sandwich, stats, stringr |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-02-24 |
| DOI: | 10.32614/CRAN.package.causalQual |
| Author: | Riccardo Di Francesco [aut, cre, cph] |
| Maintainer: | Riccardo Di Francesco <difrancesco.riccardo96 at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://riccardo-df.github.io/causalQual/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | causalQual results |
| Reference manual: | causalQual.pdf |
| Vignettes: |
Introduction to causalQual (source, R code) |
| Package source: | causalQual_1.0.0.tar.gz |
| Windows binaries: | r-devel: causalQual_1.0.0.zip, r-release: causalQual_1.0.0.zip, r-oldrel: causalQual_1.0.0.zip |
| macOS binaries: | r-devel (arm64): causalQual_1.0.0.tgz, r-release (arm64): causalQual_1.0.0.tgz, r-oldrel (arm64): causalQual_1.0.0.tgz, r-devel (x86_64): causalQual_1.0.0.tgz, r-release (x86_64): causalQual_1.0.0.tgz, r-oldrel (x86_64): causalQual_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.