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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.3 |
rolling linux/jammy R-4.5 | iglm_1.2.3.tar.gz |
1.2 MiB |
1.2.3 |
rolling linux/noble R-4.5 | iglm_1.2.3.tar.gz |
1.2 MiB |
1.2.3 |
rolling source/ R- | iglm_1.2.3.tar.gz |
566.9 KiB |
1.2.3 |
latest linux/jammy R-4.5 | iglm_1.2.3.tar.gz |
1.2 MiB |
1.2.3 |
latest linux/noble R-4.5 | iglm_1.2.3.tar.gz |
1.2 MiB |
1.2.3 |
latest source/ R- | iglm_1.2.3.tar.gz |
566.9 KiB |
1.2.4 |
2026-04-26 source/ R- | iglm_1.2.4.tar.gz |
841.0 KiB |
1.2.3 |
2026-04-23 source/ R- | iglm_1.2.3.tar.gz |
566.9 KiB |
1.2.2 |
2026-04-09 windows/windows R-4.5 | iglm_1.2.2.zip |
1.6 MiB |