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) |
| In views: | MachineLearning |
| CRAN checks: | gbev results |
| 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 |