causalQual: Causal Inference for Qualitative Outcomes
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 + fileLICENSE |
| URL: | https://riccardo-df.github.io/causalQual/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | causalQual results |
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