
iglm - Regression under Interference in Connected Populations
An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
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openblascppopenmp
5.23 score 1 stars 10 scripts 505 downloadsbigergm - Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
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openblascppopenmp
2.30 score 10 scripts 326 downloads
