summary.medsens: Summarizing Results from Sensitivity Analysis for Causal...

Description Usage Arguments Author(s) References See Also

View source: R/medsens.R


Functions to report results from the sensitivity analysis for causal mediation effects via medsens in a tabular form.


## S3 method for class 'medsens'
summary(object, ...)

## S3 method for class 'summary.medsens'
print(x, ...)



output from medsens function.


additional arguments affecting the summary produced.


output from summary.medsens function.


Dustin Tingley, Harvard University,; Teppei Yamamoto, Massachusetts Institute of Technology,; Jaquilyn Waddell-Boie, Princeton University,; Luke Keele, Penn State University,; Kosuke Imai, Princeton University,


Tingley, D., Yamamoto, T., Hirose, K., Imai, K. and Keele, L. (2014). "mediation: R package for Causal Mediation Analysis", Journal of Statistical Software, Vol. 59, No. 5, pp. 1-38.

Imai, K., Keele, L., Tingley, D. and Yamamoto, T. (2011). Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies, American Political Science Review, Vol. 105, No. 4 (November), pp. 765-789.

Imai, K., Keele, L. and Tingley, D. (2010) A General Approach to Causal Mediation Analysis, Psychological Methods, Vol. 15, No. 4 (December), pp. 309-334.

Imai, K., Keele, L. and Yamamoto, T. (2010) Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects, Statistical Science, Vol. 25, No. 1 (February), pp. 51-71.

Imai, K., Keele, L., Tingley, D. and Yamamoto, T. (2009) "Causal Mediation Analysis Using R" in Advances in Social Science Research Using R, ed. H. D. Vinod New York: Springer.

See Also

medsens, summary.

mediation documentation built on Oct. 9, 2019, 1:04 a.m.