geer
Bias-Reduced and Penalized Generalized Estimating Equations
Fits marginal regression models for repeated or clustered responses using generalized estimating equations (GEE). Provides ordinary GEE estimators, bias-reduced and bias-corrected GEE estimators, and Jeffreys-type penalized GEE estimators for binary, count and continuous responses. Methods are described in Touloumis (2026a) <doi:10.48550/arXiv.2606.16043> and Touloumis (2026b) <doi:10.48550/arXiv.2606.16058>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | geer_0.1.0.tar.gz |
603.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | geer_0.1.0.tar.gz |
622.7 KiB |
0.1.0 |
rolling source/ R- | geer_0.1.0.tar.gz |
126.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | geer_0.1.0.tar.gz |
603.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | geer_0.1.0.tar.gz |
622.7 KiB |
0.1.0 |
latest source/ R- | geer_0.1.0.tar.gz |
126.1 KiB |
0.1.0 |
2026-04-23 source/ R- | geer_0.1.0.tar.gz |
0 B |