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) . 'iglm' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("iglm")

1.2.6 by Cornelius Fritz, 18 days ago


https://corneliusfritz.github.io/iglm/


Report a bug at https://github.com/corneliusfritz/iglm/issues


Browse source code at https://github.com/cran/iglm


Authors: Cornelius Fritz [aut, cre] , Michael Schweinberger [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, R6, MASS, RcppArmadillo, Matrix, parallel, methods, coda, igraph, ragg

Depends on RcppProgress

Suggests rmarkdown, knitr, testthat

Linking to Rcpp, RcppProgress, RcppArmadillo, Matrix

System requirements: C++17


See at CRAN