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unitquantreg

Parametric Quantile Regression Models for Bounded Data

v0.0.6 · Sep 6, 2023 · Apache License (>= 2)

Description

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>.

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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
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r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp optimx quantreg Formula MASS numDeriv unitquantreg

Version History

new 0.0.6 Mar 10, 2026
updated 0.0.6 ← 0.0.5 diff Sep 5, 2023
updated 0.0.5 ← 0.0.3 diff Oct 15, 2022
new 0.0.3 Sep 18, 2022