Package: PLreg
Title: Power Logit Regression for Modeling Bounded Data
Version: 0.4.0
Authors@R: c(
  person("Felipe", "Queiroz", email = "ffelipeq@outlook.com", role = c("aut", "cre")),
  person("Silvia", "Ferrari", email = "silviaferrari@usp.br", role = "aut"))
Description: Power logit regression models for bounded continuous data,
        in which the density generator may be normal, Student-t, power
        exponential, slash, hyperbolic, sinh-normal, or type II
        logistic. Diagnostic tools associated with the fitted model,
        such as the residuals, local influence measures, leverage
        measures, and goodness-of-fit statistics, are implemented. The
        estimation process follows the maximum likelihood approach and,
        currently, the package supports two types of estimators: the
        usual maximum likelihood estimator and the penalized maximum
        likelihood estimator. More details about power logit regression
        models are described in Queiroz and Ferrari (2022)
        <arXiv:2202.01697>.
URL: https://github.com/ffqueiroz/PLreg
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
Imports: BBmisc, EnvStats, Formula, gamlss.dist, GeneralizedHyperbolic,
        methods, nleqslv, stats, VGAM, zipfR
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 2.10)
Repository: https://ffqueiroz.r-universe.dev
Date/Publication: 2023-02-14 17:22:47 UTC
RemoteUrl: https://github.com/ffqueiroz/plreg
RemoteRef: HEAD
RemoteSha: 78cb146d921a98d93d7e12ba139f4304205dba14
NeedsCompilation: no
Packaged: 2026-06-22 07:50:46 UTC; root
Author: Felipe Queiroz [aut, cre],
  Silvia Ferrari [aut]
Maintainer: Felipe Queiroz <ffelipeq@outlook.com>