R: Simplicial Generalized Beta Regression

# Simplicial Generalized Beta Regression

## Documentation for package ‘SGB’ version 1.0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

SGB-package | Package SGB
arc | arc dataset
B2i | Balances to isometric log-ratio
bval | Computation of scales and z-vectors
carseg | carseg dataset
coefmat | Tabulation of overall SGB regression results with AIC and matrix view of regression coefficients
compushape2 | Initial parameters estimates and comparison
condshape2 | Initial parameters estimates and comparison
covest.SGB | Classical and robust asymptotic covariance matrix
cvm.SGB | Goodness of fit tests on the marginal distributions of each part in a SGB model
dggamma | Generalized Gamma distribution
dSGB | Density and random generator for the SGB distribution
EqualityConstr | Equality constraints for overall shape and/or regression parameters and jacobian
EZ.SGB | Expectations of Z under the SGB distribution
fn.SGB | SGB log-likelihood and gradient
GenGammaDistrib | Generalized Gamma distribution
GoodnessFit | Goodness of fit tests on the marginal distributions of each part in a SGB model
gr.SGB | SGB log-likelihood and gradient
heqa.SGB | Equality constraints for overall shape and/or regression parameters and jacobian
heqa.SGB.jac | Equality constraints for overall shape and/or regression parameters and jacobian
heqab.SGB | Equality constraints for overall shape and/or regression parameters and jacobian
heqab.SGB.jac | Equality constraints for overall shape and/or regression parameters and jacobian
heqb.SGB | Equality constraints for overall shape and/or regression parameters and jacobian
heqb.SGB.jac | Equality constraints for overall shape and/or regression parameters and jacobian
hin.SGB | Inequality constraints and jacobian
hin.SGB.jac | Inequality constraints and jacobian
hzbeta | Histograms, quantile and probability plots for the z(u)-transforms of parts
Imputation | Imputation of missing parts in compositions from a SGB model
impute.regSGB | Imputation of missing parts in compositions from a SGB model
InequalityConstr | Inequality constraints and jacobian
InitialParameters | Initial parameters estimates and comparison
initpar.SGB | Initial parameters estimates and comparison
ks.SGB | Goodness of fit tests on the marginal distributions of each part in a SGB model
MarginPlots | Histograms, quantile and probability plots for the z(u)-transforms of parts
MeanA.SGB | Aitchison expectation and mode under the SGB distribution
MeanAobj.SGB | Aitchison expectation and mode under the SGB distribution
ModeA.SGB | Aitchison expectation and mode under the SGB distribution
ModeAobj.SGB | Aitchison expectation and mode under the SGB distribution
ocar | ocar data set
oilr | oilr data set
print.regSGB | Regression for compositions following a SGB distribution
print.testSGB | Goodness of fit tests on the marginal distributions of each part in a SGB model
pzbeta | Histograms, quantile and probability plots for the z(u)-transforms of parts
qzbeta | Histograms, quantile and probability plots for the z(u)-transforms of parts
regSGB | Regression for compositions following a SGB distribution
regSGB.default | Regression for compositions following a SGB distribution
regSGB.formula | Regression for compositions following a SGB distribution
rggamma | Generalized Gamma distribution
rSGB | Density and random generator for the SGB distribution
SGB | Package SGB
SGBdistrib | Density and random generator for the SGB distribution
SGBLik | SGB log-likelihood and gradient
SGButil | Computation of scales and z-vectors
stepSGB | Stepwise backward elimination for SGB regression
stepSGB.default | Stepwise backward elimination for SGB regression
summary.regSGB | Regression for compositions following a SGB distribution
summaryA.SGB | Aitchison expectation and mode under the SGB distribution
table.regSGB | Tabulation of overall SGB regression results with AIC and matrix view of regression coefficients
Tabulation | Tabulation of overall SGB regression results with AIC and matrix view of regression coefficients
zval | Computation of scales and z-vectors