cub0q: Main function for CUB models with covariates for the feeling...
In CUB: A Class of Mixture Models for Ordinal Data

cub0q

R Documentation

Main function for CUB models with covariates for the feeling component

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 May 29, 2024, 5:23 a.m.