causal.decomp: Causal Decomposition Analysis

We implement causal decomposition analysis using the methods proposed by Park, Lee, and Qin (2020) and Park, Kang, and Lee (2021+) <doi:10.48550/arXiv.2109.06940>. 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. We also implement sensitivity analysis for the causal decomposition analysis using R-squared values as sensitivity parameters (Park, Kang, Lee, and Ma, 2023).

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	stats, parallel, MASS, nnet, SuppDists, CBPS, PSweight, spelling, utils
Suggests:	knitr, rmarkdown
Published:	2023-03-03
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
Vignettes:	Release history of causal.decomp

Downloads:

Package source:	causal.decomp_0.1.0.tar.gz
Windows binaries:	r-devel: causal.decomp_0.1.0.zip, r-release: causal.decomp_0.1.0.zip, r-oldrel: causal.decomp_0.1.0.zip
macOS binaries:	r-release (arm64): causal.decomp_0.1.0.tgz, r-oldrel (arm64): causal.decomp_0.1.0.tgz, r-release (x86_64): causal.decomp_0.1.0.tgz, r-oldrel (x86_64): causal.decomp_0.1.0.tgz
Old sources:	causal.decomp archive

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