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unitquantreg  

Parametric Quantile Regression Models for Bounded Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("unitquantreg", "0.0.6")



Attach the package and use:
library("unitquantreg")
Maintained by
André F. B. Menezes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-19
Latest Update: 2023-09-06
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>.
How to cite:
André F. B. Menezes (2022). unitquantreg: Parametric Quantile Regression Models for Bounded Data. R package version 0.0.6, https://cran.r-project.org/web/packages/unitquantreg. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.0.3 (2022-09-19 14:30), 0.0.5 (2022-10-16 09:30)
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Complete documentation for unitquantreg
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