This package is considered a duplicate. The official version of this package is found at:https://riccardo-df.r-universe.dev/causalQual

Package: causalQual 1.0.0

Riccardo Di Francesco

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.

Authors:Riccardo Di Francesco [aut, cre, cph]

causalQual_1.0.0.tar.gz
causalQual_1.0.0.tar.gz(r-4.5-noble)causalQual_1.0.0.tar.gz(r-4.4-noble)
causalQual_1.0.0.tgz(r-4.4-emscripten)causalQual_1.0.0.tgz(r-4.3-emscripten)
causalQual.pdf |causalQual.html✨
causalQual/json (API)
NEWS

# Install 'causalQual' in R:

install.packages('causalQual', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/riccardo-df/causalqual/issues

Pkgdown site:https://riccardo-df.github.io

On CRAN:

2.70 score 8 exports 112 dependencies

Last updated 14 days agofrom:626f206239. Checks:2 OK. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 24 2025
R-4.5-linux	OK	Feb 24 2025

Exports:causalQual_did causalQual_iv causalQual_rd causalQual_soo generate_qualitative_data_did generate_qualitative_data_iv generate_qualitative_data_rd generate_qualitative_data_soo

Dependencies:abind AER backports boot broom car carData caret class cli clock codetools colorspace cowplot cpp11 data.table Deriv diagram DiceKriging digest doBy dplyr e1071 fansi farver foreach Formula future future.apply generics ggplot2 ggsci glmnet globals glue gower grf gtable hardhat ipred isoband iterators KernSmooth labeling lattice lava lifecycle listenv lme4 lmtest lubridate magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa ModelMetrics modelr munsell nlme nloptr nnet numDeriv ocf orf parallelly pbkrtest pillar pkgconfig plyr pROC prodlim progressr proxy purrr quantreg R6 ranger rbibutils RColorBrewer Rcpp RcppEigen Rdpack rdrobust recipes reformulas reshape2 rlang rpart sandwich scales shape SparseM sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite withr xtable zoo

Introduction to causalQual

Riccardo Di Francesco

Rendered fromcausalQual-short-tutorial.Rmdusingknitr::rmarkdownon Feb 24 2025.

Last update: 2025-02-24
Started: 2025-02-24

Citation

Readme and manuals

Help Manual

Help page	Topics
Causal Inference for Qualitative Outcomes under Difference-in-Differences	causalQual_did
Causal Inference for Qualitative Outcomes under Instrumental Variables	causalQual_iv
Causal Inference for Qualitative Outcomes under Regression Discontinuity	causalQual_rd
Causal Inference for Qualitative Outcomes under Selection-on-Observables	causalQual_soo
Generate Qualitative Data (Difference-in-Differences)	generate_qualitative_data_did
Generate Qualitative Data (Instrumental Variables)	generate_qualitative_data_iv
Generate Qualitative Data (Regression Discontinuity)	generate_qualitative_data_rd
Generate Qualitative Data (Selection-on-Observables)	generate_qualitative_data_soo
Plot Method for causalQual Objects	plot.causalQual
Print Method for causalQual Objects	print.causalQual
Summary Method for causalQual Objects	summary.causalQual