mediation: Causal Mediation Analysis

We implement parametric and non parametric mediation analysis. This package performs the methods and suggestions in Imai, Keele and Yamamoto (2010) <doi:10.1214/10-STS321>, Imai, Keele and Tingley (2010) <doi:10.1037/a0020761>, Imai, Tingley and Yamamoto (2013) <doi:10.1111/j.1467-985X.2012.01032.x>, Imai and Yamamoto (2013) <doi:10.1093/pan/mps040> and Yamamoto (2013) <http://web.mit.edu/teppei/www/research/IVmediate.pdf>. In addition to the estimation of causal mediation effects, the software also allows researchers to conduct sensitivity analysis for certain parametric models.

Version: 4.5.0
Depends: R (≥ 2.15.1), MASS, Matrix, mvtnorm, sandwich
Imports: lpSolve, Hmisc, lme4 (≥ 1.0), stats, graphics, grDevices, utils, boot
Suggests: mgcv, quantreg, VGAM, SuppDists, survival, parallel, testthat, speedglm
Published: 2019-10-08
DOI: 10.32614/CRAN.package.mediation
Author: Dustin Tingley, Teppei Yamamoto, Kentaro Hirose, Luke Keele, Kosuke Imai, Minh Trinh, Weihuang Wong
Maintainer: Teppei Yamamoto <teppei at mit.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://imai.princeton.edu/projects/mechanisms.html
NeedsCompilation: no
Citation: mediation citation info
Materials: README NEWS ChangeLog
In views: CausalInference, Epidemiology, Psychometrics
CRAN checks: mediation results

Documentation:

Reference manual: mediation.pdf
Vignettes: mediation-old
mediation

Downloads:

Package source: mediation_4.5.0.tar.gz
Windows binaries: r-devel: mediation_4.5.0.zip, r-release: mediation_4.5.0.zip, r-oldrel: mediation_4.5.0.zip
macOS binaries: r-release (arm64): mediation_4.5.0.tgz, r-oldrel (arm64): mediation_4.5.0.tgz, r-release (x86_64): mediation_4.5.0.tgz, r-oldrel (x86_64): mediation_4.5.0.tgz
Old sources: mediation archive

Reverse dependencies:

Reverse depends: mediationsens
Reverse imports: bruceR, coxed, EMAS, exploratory, hdmed, maczic, mia
Reverse suggests: bayestestR, brainGraph, broom, broom.mixed, datawizard, emmeans, iMediate, JSmediation, parameters, WRS2

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