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iglm  

Regression under Interference in Connected Populations
View on CRAN: Click here


Download and install iglm package within the R console
Install from CRAN:
install.packages("iglm")

Install from Github:
library("remotes")
install_github("cran/iglm")

Install by package version:
library("remotes")
install_version("iglm", "1.2.6")



Attach the package and use:
library("iglm")
Maintained by
Cornelius Fritz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-25
Latest Update: 2025-12-10
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.
How to cite:
Cornelius Fritz (2025). iglm: Regression under Interference in Connected Populations. R package version 1.2.6, https://cran.r-project.org/web/packages/iglm. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-10-18 08:53), 1.0 (2025-11-25 21:52), 1.1 (2025-11-28 14:00), 1.2.1 (2026-03-18 09:30), 1.2.2 (2026-03-30 11:20), 1.2.3 (2026-04-11 00:00), 1.2.4 (2026-04-23 13:10), 1.2.5 (2026-07-08 23:00), 1.2.6 (2026-09-23 16:50), 1.2 (2026-03-15 21:20)
Other packages that cited iglm R package
View iglm citation profile
Other R packages that iglm depends, imports, suggests or enhances
Complete documentation for iglm
Functions, R codes and Examples using the iglm R package
Full iglm package functions and examples
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