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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 causalQual_1.0.0.tar.gz 624.2 KiB
1.0.0 rolling linux/noble R-4.5 causalQual_1.0.0.tar.gz 624.4 KiB
1.0.0 rolling source/ R- causalQual_1.0.0.tar.gz 547.9 KiB
1.0.0 latest linux/jammy R-4.5 causalQual_1.0.0.tar.gz 624.2 KiB
1.0.0 latest linux/noble R-4.5 causalQual_1.0.0.tar.gz 624.4 KiB
1.0.0 latest source/ R- causalQual_1.0.0.tar.gz 547.9 KiB
1.0.0 2026-04-26 source/ R- causalQual_1.0.0.tar.gz 547.9 KiB
1.0.0 2026-04-23 source/ R- causalQual_1.0.0.tar.gz 547.9 KiB
1.0.0 2026-04-09 windows/windows R-4.5 causalQual_1.0.0.zip 627.7 KiB
1.0.0 2025-04-20 source/ R- causalQual_1.0.0.tar.gz 547.9 KiB

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