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.

Version: 1.1.6
Depends: stats, nleqslv, survival, R (≥ 3.0.0), Rcpp, data.table
LinkingTo: Rcpp, RcppArmadillo
Published: 2016-11-08
Author: Johan Zetterqvist , Arvid Sjölander with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <johan.zetterqvist at ki.se>
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_1.1.6.tar.gz
Windows binaries: r-devel: drgee_1.1.6.zip, r-release: drgee_1.1.6.zip, r-oldrel: drgee_1.1.6.zip
OS X binaries: r-release: drgee_1.1.6.tgz, r-oldrel: drgee_1.1.6.tgz
Old sources: drgee archive

Reverse dependencies:

Reverse depends: AF
Reverse imports: stdReg


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