plaqr: Partially Linear Additive Quantile Regression
Version 1.1

Estimation, prediction, thresholding, 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.

Browse man pages Browse package API and functions Browse package files

AuthorAdam Maidman [cre, aut]
Date of publication2016-12-21 08:30:41
MaintainerAdam Maidman <maidm004@umn.edu>
LicenseGPL (>= 2)
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("plaqr")

Man pages

nonlinEffect: Nonlinear Effects Plots
plaqr: Partially Linear Additive Quantile Regression
plot.plaqreffect: Nonlinear Effect Plot for a Partially Linear Additive...
predictInt: Prediction Inteval for Quantile Regression
print.plaqreffect: Print a plaqreffect object
print.thresh: Print a thresh Object
simData: Simulated Data
threshold: Classifying a Numerical Response Using a Threshold

Functions

nonlinEffect Man page Source code
plaqr Man page Source code
plot.plaqreffect Man page Source code
predictInt Man page Source code
print.plaqreffect Man page Source code
print.thresh Man page Source code
simData Man page
threshold Man page Source code

Files

NAMESPACE
data
data/simData.rda
R
R/thresh.R
R/plaqreffect.R
R/plaqr.R
R/predictInt.R
MD5
DESCRIPTION
man
man/print.plaqreffect.Rd
man/threshold.Rd
man/plaqr.Rd
man/predictInt.Rd
man/plot.plaqreffect.Rd
man/print.thresh.Rd
man/simData.Rd
man/nonlinEffect.Rd
plaqr documentation built on May 19, 2017, 11:47 a.m.