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 |
| 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 |
Documentation:
Downloads:
| Package source: |
causalQual_1.0.0.tar.gz |
| Windows binaries: |
r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: |
r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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