2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Joint Multiple Imputation of Node Attributes and Network Ties in R
Robert W. Krause
Missing data in social network studies routinely affects both node-level attributes and the network ties themselves. Standard multiple imputation software such as mice (van Buuren…
stat.ME2026
int3ract: Johnson-Neyman Technique and its Three-Way Extension for Frequentist and Bayesian Models in R
Robert W. Krause
Interaction effects are ubiquitous in applied statistical modelling, yet their meaningful interpretation remains challenging. The classic Johnson-Neyman (JN) technique (Johnson and…
stat.CO2021★ 2 cited
Statistical Network Analysis with Bergm
Alberto Caimo, Lampros Bouranis, Robert Krause +1
Recent advances in computational methods for intractable models have made network data increasingly amenable to statistical analysis. Exponential random graph models (ERGMs) emerge…