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boostrq

Boosting Regression Quantiles

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.

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VersionRepositoryFileSize
1.0.0 2026-04-09 windows/windows R-4.5 boostrq_1.0.0.zip 76.4 KiB

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