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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 |
Reference manual: | geeM.pdf |
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 depends: | LGEWIS |
Reverse imports: | geeasy, gesttools, IrregLong, MESS |
Reverse suggests: | TPEA |
Reverse enhances: | MuMIn |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.