Package: lqr
Type: Package
Title: Robust Linear Quantile Regression
Version: 5.2
Date: 2024-07-12
Author: Christian E. Galarza <chedgala@espol.edu.ec>, Luis Benites
        <lbenitess@pucp.edu.pe>, Marcelo Bourguignon
        <m.p.bourguignon@gmail.com>, Victor H. Lachos
        <hlachos@uconn.edu>
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>
Imports: graphics, stats, spatstat.univar, numDeriv, MomTrunc,
        quantreg, MASS
Suggests: ald
Description: It fits a robust linear quantile regression model using a
        new family of zero-quantile distributions for the error term.
        Missing values and censored observations can be handled as
        well. 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 Galarza et.al.(2020)
        <doi:10.1007/s13571-020-00231-0>. It provides estimates and
        full inference. It also provides envelopes plots for assessing
        the fit and confidences bands when several quantiles are
        provided simultaneously.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-06-15 11:50:54 UTC; root
Config/pak/sysreqs: pari-gp
Repository: https://chedgala.r-universe.dev
Date/Publication: 2024-07-13 02:43:37 UTC
RemoteUrl: https://github.com/cran/lqr
RemoteRef: HEAD
RemoteSha: 33e779ffb07154db233332be902bc766a9a3e7f0