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SGB
View on CRAN: Click
here
Download and install SGB package within the R console
Install from CRAN:
install.packages("SGB")
Install from Github:
library("remotes")
install_github("cran/SGB")
Install by package version:
library("remotes")
install_version("SGB", "1.0.1.1")
Attach the package and use:
library("SGB")
Maintained by
Monique Graf
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SGB . SGB results . SGB.pdf . SGB multivariate regression . SGB_1.0.1.1.tar.gz . SGB_1.0.1.1.zip . SGB_1.0.1.1.zip . SGB_1.0.1.1.zip . SGB_1.0.1.1.tgz . SGB_1.0.1.1.tgz . SGB_1.0.1.1.tgz . SGB_1.0.1.1.tgz . SGB_1.0.1.1.tgz . SGB_1.0.1.1.tgz . SGB archive . https://CRAN.R-project.org/package=SGB .
First Published: 2019-05-13
Latest Update: 2023-12-06
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.
How to cite:
Monique Graf (2019). SGB: Simplicial Generalized Beta Regression. R package version 1.0.1.1, https://cran.r-project.org/web/packages/SGB. Accessed 29 Mar. 2025.
Other packages that cited SGB R package
View SGB citation profile
Other R packages that SGB depends,
imports, suggests or enhances
Complete documentation for SGB
Functions, R codes and Examples using
the SGB R package
Some associated functions: B2i . EZ.SGB . EqualityConstr . GenGammaDistrib . GoodnessFit . Imputation . InequalityConstr . InitialParameters . MarginPlots . SGB-package . SGBdistrib . SGBlik . SGButil . Tabulation . arc . carseg . covest.SGB . ocar . oilr . regSGB . stepSGB . summaryA.SGB .
Some associated R codes: B2i.R . EZ.SGB.R . MeanA.SGB.R . MeanAobj.SGB.R . ModeA.SGB.R . ModeAobj.SGB.R . bval.R . coefmat.R . compushape2.R . condshape2.R . covest.SGB.R . cvm.SGB.R . dSGB.R . dggamma.R . fn.SGB.R . gr.SGB.R . heqa.SGB.R . heqa.SGB.jac.R . heqab.SGB.R . heqab.SGB.jac.R . heqb.SGB.R . heqb.SGB.jac.R . hin.SGB.R . hin.SGB.jac.R . hzbeta.R . impute.regSGB.R . initpar.SGB.R . ks.SGB.R . print.regSGB.R . print.testSGB.R . pzbeta.R . qzbeta.R . rSGB.R . regSGB.R . regSGB.default.R . regSGB.formula.R . rggamma.R . stepSGB.R . stepSGB.default.R . summary.regSGB.R . table.regSGB.R . zval.R . Full SGB package functions and examples
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