ssym (version 1.1)

ssym-package: Fitting Semiparametric Symmetric Regression Models

Description

This package allows to fit a semiparametric regression model suitable for data set analysis in which the conditional distribution of the response is symmetric and continuous.

Details

ll{ Package: ssym Type: Package Version: 1.0 Date: 2014-03-30 License: GPL-2 | GPL-3 }

References

Vanegas, L.H. and Paula, G.A. (2014) A Semiparametric Approach for Joint Modeling of Median and Skewness. TEST (submitted) Vanegas, L.H. and Paula, G.A. (2014) Log-symmetric distributions: statistical properties and parameter estimation. Brazilian Journal of Probability and Statistics (submitted)

Examples

data(Snacks)
Snacks2 <- Snacks[order(Snacks$snack,Snacks$week,Snacks$texture),]
attach(Snacks2)

snack <- factor(snack)
week2 <- week^2
week3 <- week^3

fit <- ssym.l(log(texture),formula.mu=~snack + week2 + week3,formula.phi=~snack,
              ncs=week,family='Normal',local.influence=TRUE)
summary(fit)