rmpw: Causal Mediation Analysis Using Weighting Approach

We implement causal mediation analysis using the methods proposed by Hong (2010) and Hong, Deutsch & Hill (2015) <doi:10.3102/1076998615583902>. It allows the estimation and hypothesis testing of causal mediation effects through ratio of mediator probability weights (RMPW). This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. We also implement a sensitivity analysis by extending the RMPW method to assess potential bias in the presence of omitted pretreatment or posttreatment covariates. The sensitivity analysis strategy was proposed by Hong, Qin, and Yang (2018) <doi:10.3102/1076998617749561>.

Version:	0.0.4
Depends:	R (≥ 3.3.0), gtools, MASS
Published:	2018-07-18
Author:	Xu Qin, Guanglei Hong, and Fan Yang
Maintainer:	Xu Qin <xuqin at uchicago.edu>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	rmpw results

Documentation:

Reference manual:

rmpw.pdf

Downloads:

Package source:	rmpw_0.0.4.tar.gz
Windows binaries:	r-devel: rmpw_0.0.4.zip, r-release: rmpw_0.0.4.zip, r-oldrel: rmpw_0.0.4.zip
macOS binaries:	r-release (arm64): rmpw_0.0.4.tgz, r-oldrel (arm64): rmpw_0.0.4.tgz, r-release (x86_64): rmpw_0.0.4.tgz, r-oldrel (x86_64): rmpw_0.0.4.tgz
Old sources:	rmpw archive

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