Package: stepjglm
Title: Variable Selection for Joint Modeling of Mean and Dispersion
Version: 0.0.1
Description: A Package for selecting variables for the joint modeling
        of mean and dispersion (including models for mixture
        experiments) based on hypothesis testing and the quality of
        model's fit. In each iteration of the selection process, a
        criterion for checking the goodness of fit is used as a filter
        for choosing the terms that will be evaluated by a hypothesis
        test. Pinto & Pereira (2021) <arXiv:2109.07978>.
Authors@R: c(person(given = c("Leandro", "A."), family = "Pereira", email = "leandro.ap@ufu.br", role = c("aut", "cre")), 
             person(given = c("Edmilson", "R."), family = "Pinto", email = "edmilson.pinto@ufu.br", role = "aut"))
Author: Leandro A. Pereira [aut, cre], Edmilson R. Pinto [aut]
Maintainer: Leandro A. Pereira <leandro.ap@ufu.br>
License: GPL-3
Depends: R (>= 3.5.0), stats
LazyData: true
RoxygenNote: 7.1.2
Imports: rsq
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-12 06:54:03 UTC; root
Config/pak/sysreqs: cmake make
Repository: https://lealvespe.r-universe.dev
Date/Publication: 2021-10-25 05:50:02 UTC
RemoteUrl: https://github.com/cran/stepjglm
RemoteRef: HEAD
RemoteSha: 7860f6781066ace2504ce32b41168be2ffb4ffa2