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: 1.1.9
Depends: stats, nleqslv, survival, R (≥ 3.0.0), Rcpp, data.table
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-09-17
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

Downloads:

Reference manual: drgee.pdf
Package source: drgee_1.1.9.tar.gz
Windows binaries: r-devel: drgee_1.1.9.zip, r-devel-gcc8: drgee_1.1.9.zip, r-release: drgee_1.1.9.zip, r-oldrel: drgee_1.1.9.zip
OS X binaries: r-release: drgee_1.1.9.tgz, r-oldrel: drgee_1.1.9.tgz
Old sources: drgee archive

Reverse dependencies:

Reverse depends: AF
Reverse imports: stdReg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=drgee to link to this page.