CRAN/E | SGB

SGB

Simplicial Generalized Beta Regression

Installation

About

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.

Key Metrics

Version 1.0.1.1
Published 2023-12-06 190 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks SGB results

Downloads

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Maintainer

Maintainer

Monique Graf

Authors

Monique Graf

Material

Reference manual
Package source

In Views

Distributions

Vignettes

SGB multivariate regression

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SGB archive

Depends

Formula

Imports

stats
MASS
numDeriv
alabama

Suggests

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