geeM: Solve Generalized Estimating Equations

GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The 'M' in the name 'geeM' is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.

Version: 0.10.1
Depends: Matrix
Imports: stats, methods
Suggests: geepack, testthat, MuMIn
Published: 2018-06-18
DOI: 10.32614/CRAN.package.geeM
Author: Lee McDaniel [aut, cre], Nick Henderson [aut], Melanie Prague [ctb] (Suggested code to fix weighting)
Maintainer: Lee McDaniel <lmcda4 at lsuhsc.edu>
License: GPL-3
NeedsCompilation: no
Citation: geeM citation info
In views: MixedModels
CRAN checks: geeM results

Documentation:

Reference manual: geeM.pdf

Downloads:

Package source: geeM_0.10.1.tar.gz
Windows binaries: r-devel: geeM_0.10.1.zip, r-release: geeM_0.10.1.zip, r-oldrel: geeM_0.10.1.zip
macOS binaries: r-release (arm64): geeM_0.10.1.tgz, r-oldrel (arm64): geeM_0.10.1.tgz, r-release (x86_64): geeM_0.10.1.tgz, r-oldrel (x86_64): geeM_0.10.1.tgz
Old sources: geeM archive

Reverse dependencies:

Reverse depends: LGEWIS
Reverse imports: geeasy, gesttools, IrregLong, MESS
Reverse suggests: TPEA
Reverse enhances: MuMIn

Linking:

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