Description Usage Arguments Value References See Also
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.
1 | cubpq(m, ordinal, Y, W, maxiter, toler)
|
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 |
An object of the class "CUB"
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
varcovcubpq
, loglikcubpq
, inibestgama
, CUB
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