cubpq {CUB} | R Documentation |
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
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 |
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