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plaqr  

Partially Linear Additive Quantile Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("plaqr", "2.0")



Attach the package and use:
library("plaqr")
Maintained by
Adam Maidman
[Scholar Profile | Author Map]
First Published: 2015-04-18
Latest Update: 2017-08-08
Description:
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive quantile regression. Intuitive functions for fitting and plotting partially linear additive quantile regression models. Uses and works with functions from the 'quantreg' package.
How to cite:
Adam Maidman (2015). plaqr: Partially Linear Additive Quantile Regression. R package version 2.0, https://cran.r-project.org/web/packages/plaqr. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0 (2015-04-18 10:59), 1.1 (2016-12-21 08:30)
Other packages that cited plaqr R package
View plaqr citation profile
Other R packages that plaqr depends, imports, suggests or enhances
Complete documentation for plaqr
Functions, R codes and Examples using the plaqr R package
Some associated functions: bic . nonlinEffect . plaqr . plot.plaqreffect . predictInt . print.plaqreffect . print.thresh . simData . threshold . trans_parameter . transform_plaqr . 
Some associated R codes: plaqr.R . plaqreffect.R . predictInt.R . thresh.R .  Full plaqr package functions and examples
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