checkInteraction: Subsidiary Function for Comparative Causal Mediation Analysis

In ccmEstimator: Comparative Causal Mediation Estimation

Description

Subsidiary function to assess interactions between treatments and mediator

Usage

checkInteraction(para.df,sigLevel = 0.05)

Arguments

para.df	a data frame containing the final data to be analyzed, generated using checkData().
sigLevel	significance level used to conduct hypothesis tests.

Value

logical. 1 if there is evidence of interaction between treatment(s) and mediator.

Note

This function is called internally and should not be used directly.

Author(s)

Kirk Bansak and Xiaohan Wu

References

Bansak, K. (2020). Comparative causal mediation and relaxing the assumption of no mediator-outcome confounding: An application to international law and audience costs. Political Analysis, 28(2), 222-243.

Examples

data(ICAapp)
final.dat <- checkData(Y = "dapprp", T1 = "trt1", T2 = "trt2", M = "immorp", data = ICAapp)
checkInteraction(final.dat,sigLevel = 0.05)

ccmEstimator documentation built on Sept. 28, 2021, 5:11 p.m.