cubp0: Main function for CUB models with covariates for the uncertainty component
Description
Estimate and validate a CUB model for given ordinal responses, with covariates for explaining
the feeling component via a logistic transform.
Usage
cubp0(m, ordinal, Y, maxiter, toler, makeplot, summary)
Arguments
m
Number of ordinal categories
ordinal
Vector of ordinal responses
Y
Matrix of selected covariates for explaining the uncertainty component
maxiter
Maximum number of iterations allowed for running the optimization algorithm
toler
Fixed error tolerance for final estimates
makeplot
Logical: if TRUE and if only one dichotomous covariate is included in the model, with levels (0,1),
the function returns a graphical plot comparing the distributions of the responses conditioned to the value
of the covariate
summary
Logical: if TRUE, summary results of the fitting procedure are displayed on screen
Value
An object of the class "CUB"
References
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