This package implements a thresholded version of the EEBoost algorithm described in [Wolfson (2011, JASA)]. EEBoost is a generalpurpose method for variable selection which can be applied whenever inference would be based on an estimating equation. The package currently implements variable selection based on the Generalized Estimating Equations, but can also accommodate userprovided estimating functions. Thresholded EEBoost is a generalization which allows multiple variables to enter the model at each boosting step.
Package details 


Author  Julian Wolfson and Christopher Miller 
Date of publication  20140811 00:18:02 
Maintainer  Julian Wolfson <julianw@umn.edu> 
License  GPL3 
Version  1.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.