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CRAN: Package iglm

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.

Version: 1.2
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: 2026-03-15
DOI: 10.32614/CRAN.package.iglm
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010 at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++17
CRAN checks: iglm results [issues need fixing before 2026-03-30]

Documentation:

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

Downloads:

Package source: iglm_1.2.tar.gz
Windows binaries: r-devel: iglm_1.2.zip, r-release: iglm_1.1.zip, r-oldrel: iglm_1.2.zip
macOS binaries: r-release (arm64): iglm_1.1.tgz, r-oldrel (arm64): iglm_1.2.tgz, r-release (x86_64): iglm_1.1.tgz, r-oldrel (x86_64): iglm_1.1.tgz
Old sources: iglm archive

Linking:

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