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mediation (version 4.2.4)

R Package for Causal Mediation Analysis

Description

mediation is a publicly available R package that allows both parametric and nonparametric causal mediation analysis. It implements the methods and suggestions in Imai, Keele and Yamamoto (2010), Imai, Keele and Tingley (2010), Imai, Tingley and Yamamoto (2013) and Imai and Yamamoto (2013). In addition to the estimation of causal mediation effects, the software also allows researchers to conduct sensitivity analysis for certain parametric models.

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Version

Install

install.packages('mediation')

Monthly Downloads

19,996

Version

4.2.4

License

GPL (>= 2)

Maintainer

Teppei Yamamoto

Last Published

September 26th, 2013

Functions in mediation (4.2.4)

jobs

JOBS II data
boundsdata

Example Data for the Design Functions
framing

Brader, Valentino and Suhay (2008) Framing Experiment Data
plot.multimed

Plotting the Results of Causal Mediation Analysis for Multiple Mechanisms
mediate.ced

Estimating Average Causal Mediation Effects under the Crossover Encouragement Design
summary.multimed

Summarizing Output from Mediation Analysis with Multiple Mechanisms
medsens

Sensitivity Analysis for Causal Mediation Effects
test.modmed

Significance Test for Moderated Mediation
summary.mediate.mer

Summarizing Output from Mediation Analysis of Multilevel Models
school

School-level data
summary.mediate

Summarizing Output from Mediation Analysis
summary.mediations

Summarizing Output from Multiple Mediation Analyses
summary.medsens

Summarizing Results from Sensitivity Analysis for Causal Mediation Effects
plot.medsens

Plotting Results from Sensitivity Analysis for Causal Mediation Effects
test.TMint

Significance Test for Treatment-Mediator Interaction in Causal Mediation Analysis
CEDdata

Example Data for the Crossover Encouragement Design
mediate.ped

Computing Bounds on Average Causal Mediation Effects under the Parallel Encouragement Design
plot.mediate.mer

Plotting Indirect, Direct, and Total Effects from Mediation Analysis of Multilevel Models
mediate.sed

Estimating Average Causal Mediation Effects under the Single Experiment Design
plot.mediate

Plotting Indirect, Direct, and Total Effects from Mediation Analysis
amelidiate

Function for combining outputs from mediations function and calculating quantities of interest. For use with multiple imputation procedures.
summary.mediate.design

Summarizing Output from Design Based Mediation Analysis
student

Hypothetical student-level data
mediate

Causal Mediation Analysis
plot.mediations

Plotting Indirect, Direct, and Total Effects from Multiple Mediation Analyses
mediations

Causal Mediation Analysis for Multiple Outcome/Treatment/Mediator Combinations
mediate.pd

Estimating Average Causal Mediation Effects under the Parallel Design
multimed

Estimation and Sensitivity Analysis for Multiple Causal Mechanisms