Interaction Effects

Interflex is a statistical software package, available as both an R library and a Stata routine, designed to estimate interaction effects with built-in diagnostics and visualization tools.

The software is based on the methods developed in Hainmueller, Mummolo, and Xu (2019), and it won the Best Statistical Software Award from the Society of Political Methodology in 2023.

Interflex for R

Interflex for Stata

References

Journal Articles

Political Analysis

How much should we trust estimates from multiplicative interaction models? Simple tools to improve empirical practice

Jens Hainmueller, Jonathan Mummolo, and Yiqing Xu

Political Analysis, 2019

Statistical Software Award DOI Bib HTML PDF

Best Statistical Software Award recognizes individuals for developing statistical software that makes a significant research contribution (https://polmeth.d9.theopenscholar.com/polmeth/statistical-software-award).

@article{hainmueller2019trust,
  title = {How much should we trust estimates from multiplicative interaction models? Simple tools to improve empirical practice},
  author = {Hainmueller, Jens and Mummolo, Jonathan and Xu, Yiqing},
  journal = {Political Analysis},
  volume = {27},
  number = {2},
  pages = {163--192},
  year = {2019},
  publisher = {Cambridge University Press},
  doi = {10.1017/pan.2018.46},
  url = {https://doi.org/10.1017/pan.2018.46},
}