This package estimates cluster-robust standard errors for dyadic data using multiway decomposition as decsribed in Aronow, Peter M., Cyrus Samii, and Valentina A. Assenova. "Cluster-robust variance estimation for dyadic data." Political Analysis 23.4 (2015): 564-577. It was developed by James Bisbee and Pedro Rodriguez
It is built on the replication materials for the same, available at https://doi.org/10.7910/DVN/OMJYE5. The value-add of this package is to dramatically reduce the computation time required to calculate these standard errors, as illustrated in the figure below.
dyadRobust can be installed from this GitHub repository with the following lines of code:
if (!require("devtools")) install.packages("devtools") devtools::install_github("jbisbee/dyadRobust") library(dyadRobust)