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
Imports: nleqslv, survival, Rcpp, data.table
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-01-09
DOI: 10.32614/CRAN.package.drgee
Author: Johan Zetterqvist <drjohanzetterqvist at gmail.com> , Arvid Sjölander <arvid.sjolander at ki.se> with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <drjohanzetterqvist at gmail.com>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Citation: drgee citation info
Materials: NEWS
In views: Robust
CRAN checks: drgee results


Reference manual: drgee.pdf


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

Reverse dependencies:

Reverse depends: AF
Reverse imports: stdReg


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