cub0q: Main function for CUB models with covariates for the feeling...

In CUB: A Class of Mixture Models for Ordinal Data

Description

Function to estimate and validate a CUB model for given ordinal responses, with covariates for explaining the feeling component.

Usage

cub0q(m, ordinal, W, maxiter, toler)

Arguments

m	Number of ordinal categories
ordinal	Vector of ordinal responses
W	Matrix of selected covariates for explaining the feeling component, not including intercept
maxiter	Maximum number of iterations allowed for running the optimization algorithm
toler	Fixed error tolerance for final estimates

Value

An object of the class "CUB"

References

Piccolo D. and D'Elia A. (2008), A new approach for modelling consumers' preferences, Food Quality and Preference, 18, 247–259

Iannario M. and Piccolo D. (2010), A new statistical model for the analysis of customer satisfaction, #' Quality Technology and Quantity management, 7(2) 149–168
Iannario M. and Piccolo D. (2012), CUB models: Statistical methods and empirical evidence, in: Kenett R. S. and Salini S. (eds.), Modern Analysis of Customer Surveys: with applications using R, J. Wiley and Sons, Chichester, 231–258.

CUB documentation built on March 31, 2020, 5:14 p.m.