ssym (version 1.5.6)

ssym-package: 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:

1.5.6

Date:

2016-07-21

License:

GPL-2 | GPL-3

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)