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

Documentation:

Reference manual:	causal.decomp.html , causal.decomp.pdf
Vignettes:	Release history of causal.decomp (source, R code)

Downloads:

Package source:	causal.decomp_0.2.0.tar.gz
Windows binaries:	r-devel: causal.decomp_0.2.0.zip, r-release: causal.decomp_0.2.0.zip, r-oldrel: causal.decomp_0.2.0.zip
macOS binaries:	r-release (arm64): causal.decomp_0.2.0.tgz, r-oldrel (arm64): causal.decomp_0.2.0.tgz, r-release (x86_64): causal.decomp_0.2.0.tgz, r-oldrel (x86_64): causal.decomp_0.2.0.tgz
Old sources:	causal.decomp archive

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