iglm: Regression under Network Interference

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.

Version: 1.0
Depends: RcppProgress, R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.8), R6, MASS, RcppArmadillo, Matrix, parallel, methods, coda, igraph
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, Matrix
Suggests: rmarkdown, knitr, testthat
Published: 2025-11-25
DOI: 10.32614/CRAN.package.iglm (may not be active yet)
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010 at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: iglm results [issues need fixing before 2025-12-10]

Documentation:

Reference manual: iglm.html , iglm.pdf
Vignettes: undirected iglm (source, R code)

Downloads:

Package source: iglm_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: iglm_1.0.zip
macOS binaries: r-release (arm64): iglm_1.0.tgz, r-oldrel (arm64): iglm_1.0.tgz, r-release (x86_64): iglm_1.0.tgz, r-oldrel (x86_64): iglm_1.0.tgz

Linking:

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