The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Welcome to unitquantreg R package

CRAN status R-CMD-check Codecov test coverage rstudio mirror downloads

The goal of unitquantreg is to provide tools for estimation and inference on parametric quantile regression models for bounded data.

We developed routines with similar interface as stats::glm function, which contains estimation, inference, residual analysis, prediction, and model comparison.

For more computation efficient the [dpqr]’s, likelihood, score and hessian functions are vectorized and written in C++.

You can install the stable version from CRAN with:

install.packages("unitquantreg")

Or you can install the development version from GitHub with:

if(!require(remotes)) install.packages('remotes')
remotes::install_github("AndrMenezes/unitquantreg", build_vignettes = TRUE)

You can then load the package

library(unitquantreg)

and look at user manuals typing:

vignette("unitquantreg")
vignette("structure_functionality")

Citation

citation("unitquantreg")
#> 
#> To cite unitquantreg in publications use:
#> 
#>   Menezes A, Mazucheli J (2021). _unitquantreg: Parametric quantile
#>   regression models for bounded data_. R package version 0.0.3,
#>   <https://andrmenezes.github.io/unitquantreg/>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {unitquantreg: {P}arametric quantile regression models for bounded data},
#>     author = {Andr{'}e F. B. Menezes and Josmar Mazucheli},
#>     note = {R package version 0.0.3},
#>     url = {https://andrmenezes.github.io/unitquantreg/},
#>     year = {2021},
#>   }

License

The unitquantreg package is released under the Apache License, Version 2.0. Please, see file LICENSE.md.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.