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drgee: Doubly Robust Generalized Estimating Equations

Fit restricted mean models for the conditional association between an exposure and an outcome, given covariates. Three methods are implemented: O-estimation, where a nuisance model for the association between the covariates and the outcome is used; E-estimation where a nuisance model for the association between the covariates and the exposure is used, and doubly robust (DR) estimation where both nuisance models are used. In DR-estimation, the estimates will be consistent when at least one of the nuisance models is correctly specified, not necessarily both. For more information, see Zetterqvist and Sjölander (2015) <doi:10.1515/em-2014-0021>.

Version:1.1.10-3
Imports:nleqslv,survival,Rcpp,data.table
LinkingTo:Rcpp,RcppArmadillo
Published:2025-05-07
DOI:10.32614/CRAN.package.drgee
Author:Johan Zetterqvist [aut, cre], Arvid Sjölander [aut], Alexander Ploner [ctb]
Maintainer:Johan Zetterqvist <drjohanzetterqvist at gmail.com>
License:GPL-2 |GPL-3
NeedsCompilation:yes
Citation:drgee citation info
Materials:NEWS
In views:MixedModels,Robust
CRAN checks:drgee results

Documentation:

Reference manual:drgee.html ,drgee.pdf

Downloads:

Package source: drgee_1.1.10-3.tar.gz
Windows binaries: r-devel:drgee_1.1.10-3.zip, r-release:drgee_1.1.10-3.zip, r-oldrel:drgee_1.1.10-3.zip
macOS binaries: r-release (arm64):drgee_1.1.10-3.tgz, r-oldrel (arm64):drgee_1.1.10-3.tgz, r-release (x86_64):drgee_1.1.10-3.tgz, r-oldrel (x86_64):drgee_1.1.10-3.tgz
Old sources: drgee archive

Reverse dependencies:

Reverse depends:AF
Reverse imports:stdReg,stdReg2

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=drgeeto link to this page.


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