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boostrq
View on CRAN: Click
here
Download and install boostrq package within the R console
Install from CRAN:
install.packages("boostrq")
Install from Github:
library("remotes")
install_github("cran/boostrq")
Install by package version:
library("remotes")
install_version("boostrq", "1.0.0")
Attach the package and use:
library("boostrq")
Maintained by
Stefan Linner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-05
Latest Update: 2024-03-05
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.
How to cite:
Stefan Linner (2024). boostrq: Boosting Regression Quantiles. R package version 1.0.0, https://cran.r-project.org/web/packages/boostrq. Accessed 07 Nov. 2024.
Previous versions and publish date:
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