lqr-package: Robust Linear Quantile Regression
In lbenitesanchez/lqr: Robust Linear Quantile Regression

Description Details Author(s) References See Also

It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.

Package:	lqr
Type:	Package
Version:	1.0
Date:	2015-10-29
License:	GPL (>=2)

~~ An overview of how to use the package, including the most important functions ~~

Christian E. Galarza <cgalarza88@gmail.com>, Luis Benites <lsanchez@ime.usp.br> and Victor H. Lachos <hlachos@ime.unicamp.br>

Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

Galarza, C.M., Lachos, V.H., Cabral, C.R.B. and Castro, L.M. (2016). Robust Quantile Regression using a Generalized Class of Skewed Distributions. Technical Report 7, Universidade Estadual de Campinas. http://www.ime.unicamp.br/sites/default/files/rp07-16.pdf

Wichitaksorn, N., Choy, S. T., & Gerlach, R. (2014). A generalized class of skew distributions and associated robust quantile regression models. Canadian Journal of Statistics, 42(4), 579-596.

SKD,Log.best.lqr, Log.lqr,best.lqr,lqr, ais, QRLMM, QRNLMM