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drgee (version 1.1.10)

Doubly Robust Generalized Estimating Equations

Description

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 Sjlander (2015) .

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Version

Install

install.packages('drgee')

Monthly Downloads

818

Version

1.1.10

License

GPL-2 | GPL-3

Maintainer

Johan Zetterqvist

Last Published

January 9th, 2020

Functions in drgee (1.1.10)

drgeeData

Extracting Variables and Model Matrices for Generalized Estimating equations
gee

Generalized Estimating Equations
robVcov

Robust Variance Calculation
drgee-package

Doubly Robust Generalized Estimating Equations
centerX

Cluster-center a design matrix around cluster means
getScoreResidualsFromClogit

Get the (conditional) score residuals from conditional logistic regression
drgee

Doubly Robust Generalized Estimating Equations
findRoots

Non Linear Equation System Solving