gecubpqs: Main function for CUB models with covariates for all the...

View source: R/gecubpqs.R

gecubpqsR Documentation

Main function for CUB models with covariates for all the components

Description

Function to estimate and validate a CUB model for given ordinal responses, with covariates for explaining all the components and the shelter effect.

Usage

gecubpqs(ordinal,Y,W,X,shelter,theta0,maxiter,toler)

Arguments

ordinal

Vector of ordinal responses

Y

Matrix of selected covariates for explaining the uncertainty component, not including intercept

W

Matrix of selected covariates for explaining the feeling component, not including intercept

X

Matrix of selected covariates for explaining the shelter effect, not including intercept

shelter

Category corresponding to the shelter choice

theta0

Starting values for parameters explaining the shelter effect

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.