centerX

Given a design matrix and a cluster identification
 variable. A new design matrix is returned, where each column
 is centered around its cluster mean. Using C++ code for speed.

cluster

Estimates 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>.

Johan Zetterqvist

drgee

Doubly Robust Generalized Estimating Equations

Arvid Sjölander

Alexander Ploner

centerX function

<dl> <dt>x</dt>
<dd>A design matrix</dd> <dt>id</dt>
<dd>A cluster identifying variable.</dd></dl>

Arguments

Johan Zetterqvist, Arvid Sjolander

Author

Cluster-center a design matrix around cluster means — centerX

<dl>

 <dt>x</dt>
<dd>A design matrix</dd>

 <dt>id</dt>
<dd>A cluster identifying variable.</dd>

</dl>

centerX: Cluster-center a design matrix around cluster means

Description

Usage

Value

Arguments

Author

Details