schalkdaniel/compboost: Efficient Component-Wise Boosting Implementation

Efficient implementation of component-wise gradient boosting (Buehlmann, P., Hothorn, T. (2007) <doi:10.1214/07-STS242>). The package applies the boosting framework to statistical models, e.g., general additive models using component-wise smoothing splines. Boosting these kinds of base components enables interpretation of the model and enables (unbiased) model selection in high-dimensional feature spaces (Hofner et al. (2011) <doi:10.1198/jcgs.2011.09220>).

Getting started

Package details

MaintainerDaniel Schalk <schalkdaniel242@gmail.com>
LicenseLGPL (>= 3)
Version0.1.2
URL https://danielschalk.com/compboost/ https://github.com/schalkdaniel/compboost/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("schalkdaniel/compboost")
schalkdaniel/compboost documentation built on April 15, 2023, 9:03 p.m.