iglm is an R package that implements scalable regression for outcomes under interference in connected populations using pseudo-likelihood optimization with theoretical guarantees.
CODA: Convergence Diagnosis and Output Analysis for MCMC
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R Package iglm: Regression under Interference in Connected Populations
iglm is an R package that implements scalable regression for outcomes under interference in connected populations using pseudo-likelihood optimization with theoretical guarantees.