Package: causal.decomp
Title: Causal Decomposition Analysis
Version: 0.2.0
Authors@R: 
    c(
      person("Suyeon", "Kang", role = c("aut", "cre"),
             email = "suyeon.kang@ucf.edu"),
      person("Soojin", "Park", role = "aut",
             email = "soojinp@ucr.edu"),
      person("Karen", "Xu", role = "ctb",
             email = "karenxu@ucr.edu")
    )
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
VignetteBuilder: knitr
Description: 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>.
License: GPL-2
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
LazyData: true
NeedsCompilation: no
Author: Suyeon Kang [aut, cre],
  Soojin Park [aut],
  Karen Xu [ctb]
Maintainer: Suyeon Kang <suyeon.kang@ucf.edu>
Packaged: 2025-08-27 15:09:48 UTC; suyeonkang
Repository: CRAN
Date/Publication: 2025-08-27 16:20:22 UTC
Built: R 4.6.0; ; 2026-04-29 00:26:24 UTC; unix
