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boostrq  

Boosting Regression Quantiles
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]
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 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for boostrq
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Full boostrq package functions and examples
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