wgeesel: Weighted Generalized Estimating Equations and Model Selection

Weighted generalized estimating equations (WGEE) is an extension of generalized linear models to longitudinal clustered data by incorporating the correlation within-cluster when data is missing at random (MAR). The parameters in mean, scale correlation structures are estimated based on quasi-likelihood. Multiple model selection criterion are provided for selection of mean model and working correlation structure based on WGEE/GEE.

Version: 1.5
Depends: R (≥ 3.0.0)
Imports: MASS, stats, geepack, bindata, PoisNor, CRTgeeDR
Published: 2018-03-09
Author: Cong Xu, Zheng Li, Ming Wang
Maintainer: Zheng Li <zheng.li at outlook.com>
License: GPL-2
NeedsCompilation: no
In views: MixedModels
CRAN checks: wgeesel results


Reference manual: wgeesel.pdf


Package source: wgeesel_1.5.tar.gz
Windows binaries: r-devel: wgeesel_1.5.zip, r-release: wgeesel_1.5.zip, r-oldrel: wgeesel_1.5.zip
macOS binaries: r-release (arm64): wgeesel_1.5.tgz, r-oldrel (arm64): wgeesel_1.5.tgz, r-release (x86_64): wgeesel_1.5.tgz
Old sources: wgeesel archive

Reverse dependencies:

Reverse imports: ELCIC


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