Solve Generalized Estimating Equations for Clustered Data
Overview
Estimation of generalized linear models with correlated/clustered observations by use of generalized estimating equations (GEE). See e.g. Halekoh and Højsgaard, (2005, doi:10.18637/jss.v015.i02), for details. Several types of clustering are supported, including exchangeable variance structures, AR1 structures, M-dependent, user-specified variance structures and more. The model fitting computations are performed using modified code from the 'geeM' package, while the interface and output objects have been written to resemble the 'geepack' package. The package also contains additional tools for working with and inspecting results from the 'geepack' package, e.g. a 'confint' method for 'geeglm' objects from 'geepack'.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing geeasy adds 95 packages (50 with compiled code, 87 MB of source tarballs). Heaviest: stringi 11 MB, ggformula 6.0 MB, ggplot2 6.0 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.3Latest
- RR 4.5.0 released · 2025-04-11
- 0.1.22024-04-29 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.12022-01-06
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-01-06
- Total releases
- 3 / 4 yrs
- License
- GPL-3 OSI
- Download size
- 33 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("geeasy")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.