Package: SGB
Type: Package
Title: Simplicial Generalized Beta Regression
Version: 1.0.1.1
Date: 2020-02-05
Author: Monique Graf
Maintainer: Monique Graf <monique.p.n.graf@bluewin.ch>
Description: Main properties and regression procedures using a
        generalization of the Dirichlet distribution called Simplicial
        Generalized Beta distribution. It is a new distribution on the
        simplex (i.e. on the space of compositions or positive vectors
        with sum of components equal to 1). The Dirichlet distribution
        can be constructed from a random vector of independent Gamma
        variables divided by their sum. The SGB follows the same
        construction with generalized Gamma instead of Gamma variables.
        The Dirichlet exponents are supplemented by an overall shape
        parameter and a vector of scales. The scale vector is itself a
        composition and can be modeled with auxiliary variables through
        a log-ratio transformation. Graf, M. (2017, ISBN:
        978-84-947240-0-8). See also the vignette enclosed in the
        package.
Depends: Formula
Imports: stats, MASS, numDeriv, alabama
Suggests: knitr, goftest
License: GPL (>= 2)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-06 10:23:07 UTC; root
Repository: https://grafmoni.r-universe.dev
Date/Publication: 2023-12-07 02:39:23 UTC
RemoteUrl: https://github.com/cran/SGB
RemoteRef: HEAD
RemoteSha: b43901ad4579c88658b4d6c0b1866eee916b8b8a