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Summary

This package performs diagnostic tests of multiplicative interaction models and plots flexible marginal effects of a treatment on an outcome across different values of a moderator, supporting linear models and GLM models.

Authors: Jens Hainmueller, Jonathan Mummolo, Yiqing Xu and Ziyi Liu (maintainer)

Please email all comments/questions to zyliu2020@uchicago.edu.

Reference: 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.

Date: May 12, 2021

Version: 1.2.6 (major syntax change) CRAN Github

Users Guide Markdown

Table of contents

Installation

You can install the interflex package from CRAN:

install.packages('interflex', type = "source", repos = 'http://cran.us.r-project.org')

or you can install the up-to-date development version from Github:

install.packages('devtools', repos = 'http://cran.us.r-project.org') # if not already installed
devtools::install_github('xuyiqing/interflex')

Note:

  1. Mac users who have updated to MacOS Big Sur will likely encounter compilation problems. See here for a potential solution.

  2. (old) Mac users who encounter clang: error: unsupported option ‘-fopenmp’, please consider (1) updating your R and/or (2) installing new R macro tools from Github.

  3. (old) Mac users who encounter “-lgfortran” or “-lquadmath” error during installation, please check out the solution here. Typing the following two lines of code in your Terminal should solve this problem.

Simulated Datasets

Now let’s load the package as well as four simulated toy datasets:

library(interflex)
data(interflex)

Raw Plot

GAM Plot

Linear Estimator

Uncertainty Estimates

Binning Estimator

Kernel Estimator

Support for GLM Models

Fully Moderated Model

Flexible Visualization Options

Estimate the Difference in Treatment Effects

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