CRAN/E | boostrq

boostrq

Boosting Regression Quantiles

Installation

About

Boosting Regression Quantiles is a component-wise boosting algorithm, that embeds all boosting steps in the well-established framework of quantile regression. It is initialized with the corresponding quantile, uses a quantile-specific learning rate, and uses quantile regression as its base learner. The package implements this algorithm and allows cross-validation and stability selection.

github.com/stefanlinner/boostrq
Bug report File report

Key Metrics

Version 1.0.0
Published 2024-03-05 195 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks boostrq results

Downloads

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Maintainer

Maintainer

Stefan Linner

Authors

Stefan Linner

aut / cre / cph

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

mboost
stabs
stats
parallel

Imports

quantreg
checkmate

Suggests

testthat ≥ 3.0.0