Package: causalQual 1.0.0

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.zip(r-4.7)causalQual_1.0.0.zip(r-4.6)causalQual_1.0.0.zip(r-4.5)
causalQual_1.0.0.tgz(r-4.6-any)causalQual_1.0.0.tgz(r-4.5-any)
causalQual_1.0.0.tar.gz(r-4.7-any)causalQual_1.0.0.tar.gz(r-4.6-any)
causalQual_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
causalQual/json (API)
NEWS

# Install 'causalQual' in R:

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

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

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

On CRAN:

5.08 score 12 stars 204 downloads 8 exports 128 dependencies

Last updated from:65d788a469. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	202
source / vignettes	OK	307
linux-release-x86_64	WARNING	209
macos-release-arm64	WARNING	155
macos-oldrel-arm64	WARNING	140
windows-devel	WARNING	154
windows-release	WARNING	138
windows-oldrel	WARNING	156
wasm-release	OK	154

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 BH bigmemory bigmemory.sri BMisc boot broom car carData caret class cli clock codetools colorspace cowplot cpp11 data.table Deriv diagram DiceKriging did digest doBy dplyr DRDID dreamerr e1071 farver fastglm foreach forecast Formula fracdiff future future.apply generics ggplot2 ggsci ggthemes 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 nlme nloptr nnet numDeriv ocf orf parallelly pbapply pbkrtest pillar pkgconfig plyr pROC prodlim progressr proxy purrr quantreg R6 ranger rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack rdrobust recipes reformulas reshape2 rlang rpart S7 sandwich scales shape SparseM sparsevctrs SQUAREM stringi stringmagic stringr survival tibble tidyr tidyselect timechange timeDate trust tzdb urca utf8 uuid vctrs viridisLite withr xtable zoo

Extensions and simulation evidence: Staggered DiD

Riccardo Di Francesco

Rendered fromcausalQual-simulation-staggeredDID.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2025-04-02
Started: 2025-04-02

Introduction to causalQual

Riccardo Di Francesco

Rendered fromcausalQual-short-tutorial.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2025-04-02
Started: 2025-02-15

Citation

Development and contributors

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