lqr: Robust Linear Quantile Regression

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.

Version: 1.0
Imports: graphics, stats, ghyp, spatstat
Suggests: ald, qrLMM, qrNLMM
Published: 2015-11-06
Author: Christian E. Galarza, Luis Benites, Victor H. Lachos
Maintainer: Christian E. Galarza <cgalarza88 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: lqr results


Reference manual: lqr.pdf
Package source: lqr_1.0.tar.gz
Windows binaries: r-devel: lqr_1.0.zip, r-release: lqr_1.0.zip, r-oldrel: lqr_1.0.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: lqr_1.0.tgz