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
CRAN checks:	wgeesel results

Documentation:

Reference manual:

wgeesel.pdf

Downloads:

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, r-oldrel (x86_64): wgeesel_1.5.tgz
Old sources:	wgeesel archive

Reverse dependencies:

Reverse imports:

ELCIC

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