Causal Inference for Qualitative Outcomes R package causalQual version 1.0.0 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. Software Imports: AER, caret, cli, ggplot2, ggsci, grf, lmtest, magrittr, ocf, rdrobust, sandwich, stats, stringr Suggests: knitr, rmarkdown Riccardo Di Francesco <difrancesco.riccardo96@gmail.com> Comprehensive R Archive Network (CRAN) Riccardo Di Francesco [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=causalQual/LICENSE) 2025-02-24 application/tgz https://CRAN.R-project.org/package=causalQual doi:10.32614/CRAN.package.causalQual