cubpq: Main function for CUB models with covariates for both the uncertainty and the feeling components

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

1
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


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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