REMs as Poisson Regressions

In this article, I explain how to rewrite Relational Event Models into Poisson regression models. Following the rationale of Vieira, Leenders and Mulder (2024), a simple data set and model is used to illustrate, how this can be done in R. Estimates and standard errors are lastly compared to those from the remstimate package. Read more

Multicollinearity in REMs

This post explores the extent to which multicollinearity can be observed in Relational Event History (REH) data generated through the specification of a single non-zero effect. To this end, correlation coefficients between endogenous statistics for directed networks in the remstats package are calculated. One step further, Variance Inflation Factors (VIFs) are computed. Read more