Package: mediation 4.5.0

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.

Authors:Dustin Tingley <[email protected]>, Teppei Yamamoto <[email protected]>, Kentaro Hirose <[email protected]>, Luke Keele <[email protected]>, Kosuke Imai <[email protected]>, Minh Trinh <[email protected]>, Weihuang Wong <[email protected]>

mediation_4.5.0.tar.gz
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mediation_4.5.0.tar.gz(r-4.7-any)mediation_4.5.0.tar.gz(r-4.6-any)
mediation_4.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mediation/json (API)

# Install 'mediation' in R:
install.packages('mediation', repos = c('https://teppeiyamamoto.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/teppeiyamamoto/mediation/issues

Datasets:
  • boundsdata - Example Data for the Design Functions
  • CEDdata - Example Data for the Crossover Encouragement Design
  • framing - Brader, Valentino and Suhay (2008) Framing Experiment Data
  • jobs - JOBS II data
  • school - School-level data
  • student - Hypothetical student-level data

On CRAN:

Conda:

9.89 score 9 packages 1.5k scripts 28k downloads 13 exports 72 dependencies

Last updated from:e5310d5b2a. Checks:7 NOTE, 2 OK. Indexed: yes.
A new build is currently in progress.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE229
source / vignettesOK277
linux-release-x86_64NOTE212
macos-release-arm64NOTE220
macos-oldrel-arm64NOTE203
windows-develNOTE160
windows-releaseNOTE138
windows-oldrelNOTE151
wasm-releaseOK133

Exports:amelidiateivmediatemediatemediate_tslsmediate.cedmediate.pdmediate.pedmediate.sedmediationsmedsensmultimedtest.modmedtest.TMint

Dependencies:backportsbase64encbootbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lpSolvemagrittrMASSMatrixmemoisemimeminqamvtnormnlmenloptrnnetR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownrpartrstudioapiS7sandwichsassscalesstringistringrtinytexvctrsviridisLitewithrxfunyamlzoo

mediation-old
Rendered frommediation-old.Rnwusingutils::Sweave

Last update: 2017-03-13
Started: 2012-05-31

mediation
Rendered frommediation.Rnwusingutils::Sweave

Last update: 2014-08-28
Started: 2012-03-20

Readme and manuals

Help Manual

Help pageTopics
Function for combining outputs from mediations function and calculating quantities of interest. For use with multiple imputation procedures.amelidiate
Example Data for the Design Functionsboundsdata
Example Data for the Crossover Encouragement DesignCEDdata
Brader, Valentino and Suhay (2008) Framing Experiment Dataframing
Causal Mediation Analysis with Treatment Noncomplianceivmediate
JOBS II datajobs
Causal Mediation Analysismediate
Two-stage Least Squares Estimation of the Average Causal Mediation Effectsmediate_tsls
Estimating Average Causal Mediation Effects under the Crossover Encouragement Designmediate.ced
Estimating Average Causal Mediation Effects under the Parallel Designmediate.pd
Computing Bounds on Average Causal Mediation Effects under the Parallel Encouragement Designmediate.ped
Estimating Average Causal Mediation Effects under the Single Experiment Designmediate.sed
mediation: Parametric and non parametric mediation analysis.mediation-package mediation
Causal Mediation Analysis for Multiple Outcome/Treatment/Mediator Combinationsmediations
Sensitivity Analysis for Causal Mediation Effectsmedsens
Estimation and Sensitivity Analysis for Multiple Causal Mechanismsmultimed
Plotting Local Indirect, Direct, and Total Effects from Mediation Analysis with Treatment Noncomplianceplot.ivmediate
Plotting Indirect, Direct, and Total Effects from Mediation Analysisplot.mediate plot.mediate.order
Plotting Indirect, Direct, and Total Effects from Mediation Analysis of Multilevel Modelsplot.mediate.mer
Plotting Indirect, Direct, and Total Effects from Multiple Mediation Analysesplot.mediations plot.mediations.order
Plotting Results from Sensitivity Analysis for Causal Mediation Effectsplot.medsens
Plotting the Results of Causal Mediation Analysis for Multiple Mechanismsplot.multimed
School-level dataschool
Hypothetical student-level datastudent
Summarizing Output from Mediation Analysis with Treatment Noncomplianceprint.summary.ivmediate summary.ivmediate
Summarizing Output from Mediation Analysisprint.summary.mediate print.summary.mediate.order summary.mediate summary.mediate.order
Summarizing Output from Design Based Mediation Analysisprint.summary.mediate.design summary.mediate.design
Summarizing Output from Mediation Analysis of Multilevel Modelsprint.summary.mediate.mer print.summary.mediate.mer.2 print.summary.mediate.mer.3 summary.mediate.mer
Summarizing Output from Multiple Mediation Analysesprint.summary.mediations print.summary.mediations.order summary.mediations summary.mediations.order
Summarizing Results from Sensitivity Analysis for Causal Mediation Effectsprint.summary.medsens summary.medsens
Summarizing Output from Mediation Analysis with Multiple Mechanismsprint.summary.multimed summary.multimed
Significance Test for Moderated Mediationprint.test.modmed.mediate print.test.modmed.mediate.order test.modmed test.modmed.default test.modmed.mediate test.modmed.mediate.order
Significance Test for Treatment-Mediator Interaction in Causal Mediation Analysisprint.htest.order test.TMint test.TMint.default test.TMint.mediate test.TMint.mediate.order