mediation : R package for causal mediation analysis Citation

  title={mediation : R package for causal mediation analysis Citation},
  author={Dustin Tingley and Teppei Yamamoto and Kentaro Hirose and Luke J. Keele and Kosuke Imai},
In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the goal of researchers is not only estimating causal effects of a treatment but also understanding the process in which the treatment causally affects the outcome. Causal mediation analysis is frequently used to assess potential causal mechanisms. The mediation package implements a comprehensive suite of statistical tools for conducting such… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 29 references

What Triggers Public Opposition to Immigration? Anxiety, Group Cues, and Immigration.

T Brader, NA Valentino, E Suhat
American Journal of Political Science, • 2008
View 7 Excerpts
Highly Influenced

Direct and Indirect Effects.

J Pearl
In Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence, • 2001
View 4 Excerpts
Highly Influenced

Interpretation and identification of causal mediation.

Psychological methods • 2014
View 1 Excerpt

lme 4 : Linear MixedEffects Models using Eigen and S 4 . R package version 1

D Bates, M Maechler, B Bolker, S Walker

lme4: Linear Mixed-Effects Models using Eigen and S4

D Bates, M Maechler, B Bolker, S Walker
R package version 1.1-7, URL lme4. • 2014

Stata Data Analysis Statistical Software: Release 12

StataCorp LP, College Station, TX. URL • 2013

Similar Papers

Loading similar papers…