| ssym-package {ssym} | R Documentation |
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 <hvanegasp@gmail.com> 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)