Boosting Regression Quantiles R package boostrq version 1.0.0 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. Software Depends: mboost, stabs, stats, parallel Imports: quantreg, checkmate Suggests: testthat (>= 3.0.0) Stefan Linner <stefan.linner97@gmail.com> Comprehensive R Archive Network (CRAN) Stefan Linner [aut, cre, cph] GPL (>= 2) 2024-03-05 application/tgz https://CRAN.R-project.org/package=boostrq doi:10.32614/CRAN.package.boostrq