Package: iglm
Type: Package
Title: Regression under Interference in Connected Populations
Version: 1.2.4
Date: 2026-04-10
Authors@R: c(
    person(given = "Cornelius", family = "Fritz", role = c("aut", "cre"), email = "corneliusfritz2010@gmail.com"), 
    person(given = "Michael", family = "Schweinberger", role = c("aut"), email = "michael.schweinberger@psu.edu"))
Description: 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.
License: GPL-3
Imports: Rcpp (>= 1.0.8), R6, MASS, RcppArmadillo, Matrix, parallel,
        methods, coda, igraph, ragg
Suggests: rmarkdown, knitr, testthat
Depends: RcppProgress, R (>= 3.5.0)
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, Matrix
RoxygenNote: 7.3.3
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: false
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-04-23 10:41:09 UTC; corneliusfritz
Author: Cornelius Fritz [aut, cre],
  Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-23 11:10:03 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 17:40:52 UTC; unix
Archs: iglm.so.dSYM
