Other packages > Find by keyword >

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 06 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited boostrq R package
View boostrq citation profile
Other R packages that boostrq depends, imports, suggests or enhances
Complete documentation for boostrq
Functions, R codes and Examples using the boostrq R package
Full boostrq package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA