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SPQR  

Semi-Parametric Quantile Regression
View on CRAN: Click here


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

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

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



Attach the package and use:
library("SPQR")
Maintained by
Steven Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-02
Latest Update:
Description:
Methods for flexible estimation of conditional density and quantile function, as well as model agnostic tools for analyzing quantile covariate effect and variable importance. The estimation method implements the semi-parametric quantile regression model described in Xu and Reich (2021) , and the model agnostic tools extend accumulative local effects (ALE) to quantile regression setting.
How to cite:
Steven Xu (2022). SPQR: Semi-Parametric Quantile Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/SPQR. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 0.1.0 (2022-05-02 22:02)
Other packages that cited SPQR R package
View SPQR citation profile
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