Package: sglg
Type: Package
Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Version: 0.2.4
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: 2025-12-09 16:39:38 UTC; CARLOS
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-8870-4795>),
  Gilberto Paula [aut],
  Luis Vanegas [aut]
Repository: CRAN
Date/Publication: 2025-12-09 18:10:02 UTC
Built: R 4.6.0; ; 2025-12-17 05:25:29 UTC; windows
