causal.decomp

causal.decomp-package

The causal.decomp package provides six important functions:
mmi, smi, pocr, sensitivity, ind.decomp, and ind.sens.

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>.

Suyeon Kang

Causal Decomposition Analysis

Soojin Park

Karen Xu

causal.decomp-package function

Maintainer: Suyeon Kang <a href="/link/suyeon.kang%40ucf.edu?package=causal.decomp&version=0.2.0" data-mini-rdoc="causal.decomp::suyeon.kang@ucf.edu">suyeon.kang@ucf.edu</a>
Authors:<ul>
<li>Soojin Park <a href="/link/soojinp%40ucr.edu?package=causal.decomp&version=0.2.0" data-mini-rdoc="causal.decomp::soojinp@ucr.edu">soojinp@ucr.edu</a></li>
</ul>Other contributors:<ul>
<li>Karen Xu <a href="/link/karenxu%40ucr.edu?package=causal.decomp&version=0.2.0" data-mini-rdoc="causal.decomp::karenxu@ucr.edu">karenxu@ucr.edu</a> [contributor]</li>
</ul>

Author

causal.decomp: Causal Decomposition Analysis. — causal.decomp-package

Maintainer: Suyeon Kang <a href='mailto:suyeon.kang@ucf.edu'>suyeon.kang@ucf.edu</a>
Authors:<ul>
<li>Soojin Park <a href='mailto:soojinp@ucr.edu'>soojinp@ucr.edu</a></li>
</ul>

Other contributors:<ul>
<li>Karen Xu <a href='mailto:karenxu@ucr.edu'>karenxu@ucr.edu</a> [contributor]</li>
</ul>

causal.decomp-package: causal.decomp: Causal Decomposition Analysis.

Description

Arguments

Author