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 as in Galarza et.al.(2017) <doi:10.1002/sta4.140>. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Bottai et.al.(2009) <doi:10.1002/sim.3781>. 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: 1.7
Imports: graphics, stats, ghyp, spatstat
Suggests: ald, qrLMM, qrNLMM
Published: 2018-02-01
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_1.7.tar.gz
Windows binaries: r-devel: lqr_1.7.zip, r-release: lqr_1.7.zip, r-oldrel: lqr_1.7.zip
OS X El Capitan binaries: r-release: lqr_1.7.tgz
OS X Mavericks binaries: r-oldrel: lqr_1.5.tgz
Old sources: lqr archive

Reverse dependencies:

Reverse suggests: ald, qrNLMM


Please use the canonical form https://CRAN.R-project.org/package=lqr to link to this page.