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]
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 03 May. 2025.
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
04/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/01Downloads for boostrq246810121416TrendBars

Today's Hot Picks in Authors and Packages

farrell  
Interactive Interface to Data Envelopment Analysis Modeling
Allows the user to execute interactively radial data envelopment analysis models. The user has the a ...
Download / Learn more Package Citations See dependency  
TestDesign  
Optimal Test Design Approach to Fixed and Adaptive Test Construction
Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (201 ...
Download / Learn more Package Citations See dependency  
grabsampling  
Probability of Detection for Grab Sample Selection
Functions for obtaining the probability of detection, for grab samples selection by using two differ ...
Download / Learn more Package Citations See dependency  
nlsem  
Fitting Structural Equation Mixture Models
Estimation of structural equation models with nonlinear effects and underlying nonnormal distributi ...
Download / Learn more Package Citations See dependency  
mlr3fselect  
Feature Selection for 'mlr3'
Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3 ...
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  

24,142

R Packages

207,311

Dependencies

65,312

Author Associations

24,143

Publication Badges

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