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fastkqr  

A Fast Algorithm for Kernel Quantile Regression
View on CRAN: Click here


Download and install fastkqr package within the R console
Install from CRAN:
install.packages("fastkqr")

Install from Github:
library("remotes")
install_github("cran/fastkqr")

Install by package version:
library("remotes")
install_version("fastkqr", "1.0.0")



Attach the package and use:
library("fastkqr")
Maintained by
Qian Tang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-13
Latest Update: 2024-05-13
Description:
An efficient algorithm to fit and tune kernel quantile regression models based on the majorization-minimization (MM) method. It can also fit multiple quantile curves simultaneously without crossing.
How to cite:
Qian Tang (2024). fastkqr: A Fast Algorithm for Kernel Quantile Regression. R package version 1.0.0, https://cran.r-project.org/web/packages/fastkqr. Accessed 30 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:38), 1.0.0 (2024-05-13 13:13)
Other packages that cited fastkqr R package
View fastkqr citation profile
Other R packages that fastkqr depends, imports, suggests or enhances
Complete documentation for fastkqr
Functions, R codes and Examples using the fastkqr R package
Full fastkqr package functions and examples
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