Useful R Packages for Causal Inference in the Social Sciences

The table below lists R packages that I have found useful for causal inference in the social sciences, particularly political science. I regularly teach Causal Inference as part of the methods sequence at MIT Political Science, so this post mainly serves a convenient place to send students when teaching that course.

Boostrap-Based Multiple Testing Adjustments: New R Package

A recent trend in quantitative political science is the increasing attention to the multiple testing problem in hypothesis testing. As we examine more and more dependent variables or subgroups in a given study, the potential for falsely rejecting at least one null hypothtesis due to chance increases.