boost-R/mboost: Model-Based Boosting

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("remotes")
remotes::install_github("boost-R/mboost")
boost-R/mboost documentation built on May 12, 2019, 11:37 p.m.