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plaqr (version 2.0)

Partially Linear Additive Quantile Regression

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.

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Version

Install

install.packages('plaqr')

Monthly Downloads

125

Version

2.0

License

GPL (>= 2)

Maintainer

Adam Maidman

Last Published

August 8th, 2017

Functions in plaqr (2.0)

predictInt

Prediction Inteval for Quantile Regression
print.plaqreffect

Print a plaqreffect object
threshold

Classifying a Numerical Response Using a Threshold
trans_parameter

Transformation of the Response Variable
plaqr

Partially Linear Additive Quantile Regression
plot.plaqreffect

Nonlinear Effect Plot for a Partially Linear Additive Quantile Regression Model
print.thresh

Print a thresh Object
simData

Simulated Data
bic

BIC for the Partially Linear Additive Quantile Regression Model
nonlinEffect

Nonlinear Effects Plots
transform_plaqr

Transformation for Partially Linear Additive Quantile Regression