Package: boostrq
Type: Package
Title: Boosting Regression Quantiles
Version: 1.0.0
Authors@R: 
    person(given = "Stefan",
           family = "Linner",
           role = c("aut", "cre", "cph"),
           email = "stefan.linner97@gmail.com")
Description: 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.
License: GPL (>= 2)
URL: https://github.com/stefanlinner/boostrq
BugReports: https://github.com/stefanlinner/boostrq/issues
Encoding: UTF-8
Depends: mboost, stabs, stats, parallel
Imports: quantreg, checkmate
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Repository: https://stefanlinner.r-universe.dev
Date/Publication: 2024-03-02 08:53:47 UTC
RemoteUrl: https://github.com/stefanlinner/boostrq
RemoteRef: HEAD
RemoteSha: f2d3480f8db336564f31dda144a11f2b47a3f862
NeedsCompilation: no
Packaged: 2026-10-13 10:32:38 UTC; root
Author: Stefan Linner [aut, cre, cph]
Maintainer: Stefan Linner <stefan.linner97@gmail.com>