hofnerb/mboost: Model-Based Boosting
Version 2.9-1

Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.

Getting started

Package details

Maintainer
LicenseGPL-2
Version2.9-1
URL https://github.com/boost-R/mboost
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("hofnerb/mboost")
hofnerb/mboost documentation built on June 16, 2018, 2:42 p.m.