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.

Package details

AuthorChristian E. Galarza, Luis Benites, Victor H. Lachos
MaintainerChristian E. Galarza <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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lqr documentation built on Feb. 1, 2018, 5:01 p.m.