Regression under Network Interference
Set Control Parameters for iglm Estimation
Compute Statistics
Generate the Skeleton for an R package to implement additional iglm te...
A R6 class to represent networks with unit-level attributes
Constructor for the iglm.data R6 object
An R6 class for Network GLM (Generalized Linear Model) Objects
Construct a iglm Model Specification Object
Model specification for a `iglm' object
R6 Class for Storing iglm Estimation and Simulation Results
Constructor for the results R6 Object
R6 Class for iglm Sampler Settings
Constructor for a iglm Sampler
R6 Class for Single Component Sampler Settings
Constructor for Single Component Sampler Settings
Simulate responses and connections
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.