causal.decomp: Causal Decomposition Analysis

We implement causal decomposition analysis using the methods proposed by Park, Lee, and Qin (2020) <arXiv:2008.12812> and Park, Kang, and Lee (2021+). This package allows researchers to use the multiple-mediator-imputation, single-mediator-imputation, and product-of-coefficients regression methods to estimate the initial disparity, disparity reduction, and disparity remaining. It also allows to make the inference conditional on baseline covariates.

Version: 0.0.1
Depends: R (≥ 2.10)
Imports: stats, parallel, MASS, nnet, SuppDists, CBPS, PSweight, spelling, utils
Published: 2021-09-13
Author: Suyeon Kang [aut, cre], Soojin Park [aut]
Maintainer: Suyeon Kang <skang062 at ucr.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: causal.decomp results

Documentation:

Reference manual: causal.decomp.pdf

Downloads:

Package source: causal.decomp_0.0.1.tar.gz
Windows binaries: r-devel: causal.decomp_0.0.1.zip, r-release: causal.decomp_0.0.1.zip, r-oldrel: causal.decomp_0.0.1.zip
macOS binaries: r-release (arm64): causal.decomp_0.0.1.tgz, r-oldrel (arm64): causal.decomp_0.0.1.tgz, r-release (x86_64): causal.decomp_0.0.1.tgz, r-oldrel (x86_64): causal.decomp_0.0.1.tgz

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