Bias-Reduced and Penalized Generalized Estimating Equations
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK8 OK2026-06-24
Documentation
- Help pages
- 30 (1 internal)includes a package overview page
- Examples that run
- 96%27 run in a plain check (1 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 88%
- Documented parameters
- 99%
- Return-value docs
- 88%
- Help pages citing references
- 60%
Downloads
Repository
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Dependencies
Installing geer adds 8 packages (5 with compiled code, 5.5 MB of source tarballs). Heaviest: brglm2 2.3 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
- 0.1.0Latest2026-06-23 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-23
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 5.8 KB / 7 files
- Download size
- 127 KB
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