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quantdr  

Dimension Reduction Techniques for Conditional Quantiles
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("quantdr", "1.3.2")



Attach the package and use:
library("quantdr")
Maintained by
Eliana Christou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-07
Latest Update: 2025-07-01
Description:
An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
How to cite:
Eliana Christou (2020). quantdr: Dimension Reduction Techniques for Conditional Quantiles. R package version 1.3.2, https://cran.r-project.org/web/packages/quantdr. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:46), 1.0.0 (2020-10-07 13:50), 1.1.0 (2020-12-15 18:40), 1.2.0 (2021-04-20 06:40), 1.2.1 (2022-03-22 20:30), 1.2.2 (2022-05-09 11:10)
Other packages that cited quantdr R package
View quantdr citation profile
Other R packages that quantdr depends, imports, suggests or enhances
Complete documentation for quantdr
Functions, R codes and Examples using the quantdr R package
Some associated functions: ValAR . cqs . llqr . llqrcv . 
Some associated R codes: ValAR.R . bic_d.R . cqs.R . llqr.R . llqrcv.R .  Full quantdr package functions and examples
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