causal.decomp: Causal Decomposition Analysis
We implement causal decomposition analysis using methods proposed by Park, Lee, and Qin (2022) and Park, Kang, and Lee (2023), which provide researchers with multiple-mediator imputation, single-mediator imputation, and product-of-coefficients regression approaches to estimate the initial disparity, disparity reduction, and disparity remaining (<doi:10.1177/00491241211067516>; <doi:10.1177/00811750231183711>). We also implement sensitivity analysis for causal decomposition using R-squared values as sensitivity parameters (Park, Kang, Lee, and Ma, 2023 <doi:10.1515/jci-2022-0031>). Finally, we include individualized causal decomposition and sensitivity analyses proposed by Park, Kang, and Lee (2025+) <doi:10.48550/arXiv.2506.19010>.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5) |
| Imports: | stats, parallel,MASS,nnet,SuppDists,PSweight, utils,rlang,DynTxRegime,distr,rpart,dplyr,modelObj,magrittr,knitr |
| Suggests: | rmarkdown,rpart.plot,spelling,CBPS,pbmcapply |
| Published: | 2025-08-27 |
| DOI: | 10.32614/CRAN.package.causal.decomp |
| Author: | Suyeon Kang [aut, cre], Soojin Park [aut], Karen Xu [ctb] |
| Maintainer: | Suyeon Kang <suyeon.kang at ucf.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Language: | en-US |
| CRAN checks: | causal.decomp results |
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