CRAN/E | unitquantreg

unitquantreg

Parametric Quantile Regression Models for Bounded Data

Installation

About

A collection of parametric quantile regression models for bounded data. At present, the package provides 13 parametric quantile regression models. It can specify regression structure for any quantile and shape parameters. It also provides several S3 methods to extract information from fitted model, such as residual analysis, prediction, plotting, and model comparison. For more computation efficient the [dpqr]'s, likelihood, score and hessian functions are written in C++. For further details see Mazucheli et. al (2022) doi:10.1016/j.cmpb.2022.106816.

Citation unitquantreg citation info
andrmenezes.github.io/unitquantreg/
Bug report File report

Key Metrics

Version 0.0.6
R ≥ 3.5.0
Published 2023-09-06 243 days ago
Needs compilation? yes
License Apache License (≥ 2)
CRAN checks unitquantreg results

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Maintainer

Maintainer

André F. B. Menezes

andrefelipemaringa@gmail.com

Authors

André F. B. Menezes

aut / cre

Josmar Mazucheli

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Structure and functionality
Get started

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

unitquantreg archive

Depends

R ≥ 3.5.0

Imports

Rcpp
optimx
stats
quantreg
Formula
MASS
numDeriv

Suggests

testthat ≥ 3.0.0
rmarkdown
knitr
lmtest
ggplot2
covr

LinkingTo

Rcpp