cubpq: Main function for CUB models with covariates for both the...

In CUB: A Class of Mixture Models for Ordinal Data

Description

Estimate and validate a CUB model for given ordinal responses, with covariates for explaining both the feeling and the uncertainty components by means of logistic transform.

Usage

cubpq(m, ordinal, Y, W, maxiter, toler)

Arguments

m	Number of ordinal categories
ordinal	Vector of ordinal responses
Y	Matrix of selected covariates for explaining the uncertainty component
W	Matrix of selected covariates for explaining the feeling component
maxiter	Maximum number of iterations allowed for running the optimization algorithm
toler	Fixed error tolerance for final estimates
summary	Logical: if TRUE, summary results of the fitting procedure are displayed on screen

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 Quantitative Management, 17(2) 149–168

See Also

varcovcubpq, loglikcubpq, inibestgama, CUB

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