r-gbm
Generalized boosted regression models
This package is an implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. It includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart).
- Versions: 2.2.2
- Website: https://github.com/gbm-developers/gbm
- Licenses: GPL 2+
- Package source: gnu/packages/cran.scm
- Builds: See build status
- Issues: See known issues
Installation
Install the latest version of r-gbm as follows:
guix install r-gbm
Or install a particular version:
guix install r-gbm@2.2.2
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.
Badge code
You can use the following badge to inform users of r-gbm about the latest version available in Guix.
Example HTML:
<a href='https://packages.guix.gnu.org/packages/r-gbm'><img src='https://packages.guix.gnu.org/packages/r-gbm/badges/latest-version.svg' alt='Version in GNU Guix'></a>
Example Markdown:
[](https://packages.guix.gnu.org/packages/r-gbm)
Example Org:
[[https://packages.guix.gnu.org/packages/r-gbm][https://packages.guix.gnu.org/packages/r-gbm/badges/latest-version.svg]]