Package: ModalNet
Type: Package
Title: Regularized Parametric Modal Regression: Lasso, Elastic Net and
        Ridge
Version: 0.3.0
Authors@R: c(
    person("Christian E.", "Galarza", email = "chedgala@espol.edu.ec",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-4818-6006",
                       affiliation = "Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador")),
    person("Víctor H.", "Lachos", email = "hlachos@uconn.edu", role = "aut",
           comment = c(ORCID = "0000-0002-7239-2459",
                       affiliation = "University of Connecticut, Storrs, CT, USA")),
    person("Dashun", "Liu", email = "dashun.liu@uconn.edu", role = "aut",
           comment = c(affiliation = "University of Connecticut, Storrs, CT, USA")))
Description: Variable selection and estimation for parametric modal
        regression with continuous positive responses (Gamma, Weibull
        and Lognormal families) under Lasso, elastic-net, ridge and
        adaptive-Lasso penalties. The conditional mode is linked to a
        linear predictor through a logarithmic link using the mode
        reparameterization of Galarza and Lachos (2026)
        <doi:10.48550/arXiv.2603.07099>. The penalized log-likelihood
        is maximized with a proximal Newton algorithm (iteratively
        reweighted penalized least squares): at each iteration the
        modal log-likelihood is replaced by a local quadratic surrogate
        in the linear predictor, which yields a pseudo-response and a
        working weight in closed form, and the resulting weighted
        penalized least-squares subproblem is solved by the
        coordinate-descent solver of 'glmnet' (Friedman, Hastie and
        Tibshirani, 2010, <doi:10.18637/jss.v033.i01>). The
        regularization parameter is chosen along a warm-started path by
        the extended Bayesian information criterion of Chen and Chen
        (2008) <doi:10.1093/biomet/asn034>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: glmnet, stats, graphics
Suggests: survival
LazyData: true
URL: https://github.com/chedgala/ModalNet
BugReports: https://github.com/chedgala/ModalNet/issues
RoxygenNote: 7.3.3
Repository: https://chedgala.r-universe.dev
Date/Publication: 2026-10-22 04:44:34 UTC
RemoteUrl: https://github.com/chedgala/modalnet
RemoteRef: HEAD
RemoteSha: bf75da85dbbd1ce9aa5562f7067d2bc95ec34064
NeedsCompilation: no
Packaged: 2026-11-05 01:22:47 UTC; root
Author: Christian E. Galarza [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-4818-6006>, affiliation: Escuela
    Superior Politécnica del Litoral, Guayaquil, Ecuador),
  Víctor H. Lachos [aut] (ORCID: <https://orcid.org/0000-0002-7239-2459>,
    affiliation: University of Connecticut, Storrs, CT, USA),
  Dashun Liu [aut] (affiliation: University of Connecticut, Storrs, CT,
    USA)
Maintainer: Christian E. Galarza <chedgala@espol.edu.ec>