gbev: Gradient Boosted Regression Trees with Errors-in-Variables

This package performs non-parametric regression when covariates are measured with error. The models are estimated using gradient boosted regression trees. Regression is performed using squared error loss, while binary response regression can be performed using negative log-likelihood loss.

Version: 0.1.1
Depends: mvtnorm
Published: 2009-02-24
Author: Joe Sexton
Maintainer: Joe Sexton <j.a.sexton at medisin.uio.no>
License: GPL (≥ 2)
CRAN checks: gbev results

Downloads:

Package source: gbev_0.1.1.tar.gz
MacOS X binary: gbev_0.1.1.tgz
Windows binary: gbev_0.1.1.zip
Reference manual: gbev.pdf
Old sources: gbev archive