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BwQuant  

Bandwidth Selectors for Local Linear Quantile Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BwQuant", "0.1.0")



Attach the package and use:
library("BwQuant")
Maintained by
Mercedes Conde-Amboage
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-08
Latest Update: 2022-02-08
Description:
Bandwidth selectors for local linear quantile regression, including cross-validation and plug-in methods. The local linear quantile regression estimate is also implemented.
How to cite:
Mercedes Conde-Amboage (2022). BwQuant: Bandwidth Selectors for Local Linear Quantile Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/BwQuant. Accessed 03 Dec. 2024.
Previous versions and publish date:
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Other R packages that BwQuant depends, imports, suggests or enhances
Complete documentation for BwQuant
Functions, R codes and Examples using the BwQuant R package
Some associated functions: BwQuant-package . bwCV . bwPI . bwRT . bwYJ . llqr . 
Some associated R codes: RT.R . bwB.R . bwCV.R . bwPI.R . bwRT.R . bwYJ.R . llqr.R . simpson.R .  Full BwQuant package functions and examples
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