ssym-package: Fitting Semiparametric Log-symmetric Regression Models

In ssym: Fitting Semi-Parametric log-Symmetric Regression Models

Fitting Semiparametric Log-symmetric Regression Models

Description

This package allows to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored.

Details

Package:	ssym
Type:	Package
Version:	1.5.7
Date:	2016-10-15
License:	GPL-2 | GPL-3

Author(s)

Luis Hernando Vanegas <[e-mail]> and Gilberto A. Paula

Maintainer: Luis Hernando Vanegas

References

Vanegas, L.H. and Paula, G.A. (2015) A semiparametric approach for joint modeling of median and skewness. TEST 24, 110-135.

Vanegas, L.H. and Paula, G.A. (2016) Log-symmetric distributions: statistical properties and parameter estimation. Brazilian Journal of Probability and Statistics 30, 196-220.

Vanegas, L.H. and Paula, G.A. (2016) An extension of log-symmetric regression models: R codes and applications. Journal of Statistical Computation and Simulation 86, 1709-1735.

Examples

data("Snacks", package="ssym")                                    
fit <- ssym.l(log(texture) ~ type + ncs(week) | type, data=Snacks,
               family='Student', xi=15)     
summary(fit)                                                      

ssym documentation built on April 22, 2023, 1:13 a.m.