inter_test: Conduct t-Test after Estimation

In xuyiqing/interflex: Multiplicative Interaction Models Diagnostics and Visualization

Description

Compare treatment effects at specific values of the moderator

Usage

inter.test(out, diff.values, percentile=FALSE, k=16)

Arguments

out	an interflex object.
diff.values	a numeric vector contain 2 or 3 elements which are within the range of the moderator. The treatment effects at corresponding values of the moderator will be compared.
percentile	a logical flag indicating whether to take values of the moderator on a percentile scale.
k	an integer specifying the dimension(s) of the bases used to represent the smooth term, default to 16.

Details

inter.test compare treatment effects at specific values of the moderator using marginal effects and vcov matrix derived from linear/kernel estimation. Based on GAM model(relies on mgcv package), users can approximate the treatment effect and its variance using smooth functions without re-estimating the model, hence saving time.

Author(s)

Jens Hainmueller; Jonathan Mummolo; Yiqing Xu; Ziyi Liu (Maintainer)

References

Jens Hainmueller; Jonathan Mummolo; Yiqing Xu. 2019. "How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice." Political Analysis, Vol. 27, Iss. 2, April 2019, pp. 163–192. Available at: https://www.cambridge.org/core/journals/political-analysis/article/how-much-should-we-trust-estimates-from-multiplicative-interaction-models-simple-tools-to-improve-empirical-practice/D8CAACB473F9B1EE256F43B38E458706.

See Also

interflex, plot.interflex and predict.interflex

xuyiqing/interflex documentation built on Feb. 12, 2022, 10:10 p.m.