unitquantreg
R package
Welcome to
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 development version from GitHub with:
if(!require(remotes)) install.packages('remotes')
remotes::install_github("AndrMenezes/unitquantreg")
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
.