Package: sglg
Type: Package
Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Version: 0.2.7
Authors@R: c(person("Carlos Alberto","Cardozo Delgado",role = c("aut","cre","cph"), email="cardozorpackages@gmail.com", comment = c(ORCID = "0000-0002-8870-4795")), 
             person("Gilberto","Paula ",role = c("aut")), 
             person("Luis ","Vanegas ",role = c("aut")))
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
Description: Set of tools to fit a linear multiple or semi-parametric
        regression models with the possibility of non-informative
        random right or left censoring. Under this setup, the
        localization parameter of the response variable distribution is
        modeled by using linear multiple regression or semi-parametric
        functions, whose non-parametric components may be approximated
        by natural cubic spline or P-splines. The supported
        distribution for the model error is a generalized log-gamma
        distribution which includes the generalized extreme value and
        standard normal distributions as important special cases.
        Inference is based on likelihood, penalized likelihood and
        bootstrap methods. Lastly, some numerical and graphical devices
        for diagnostic of the fitted models are offered.
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: testthat
Imports: Formula, survival, methods, stats, AdequacyModel, ggplot2,
        plotly, moments, gridExtra, pracma, progress, Rcpp, plot3D,
        magrittr, TeachingSampling
NeedsCompilation: no
Packaged: 2026-07-05 09:42:03 UTC; root
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0002-8870-4795>), Gilberto Paula [aut],
        Luis Vanegas [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-05 07:20:02 UTC
RemoteUrl: https://github.com/cran/sglg
RemoteRef: HEAD
RemoteSha: 77be99fd04ee1685ce6f4cf48e244d40eee7bd0a