probcub0q {CUB} | R Documentation |
Compute the probability distribution of a CUB model with covariates for the feeling component.
probcub0q(m,ordinal,W,pai,gama)
m |
Number of ordinal categories |
ordinal |
Vector of ordinal responses |
W |
Matrix of covariates for explaining the feeling component NCOL(Y)+1 to include an intercept term in the model (first entry) |
pai |
Uncertainty parameter |
gama |
Vector of parameters for the feeling component, whose length equals NCOL(W)+1 to include an intercept term in the model (first entry) |
A vector of the same length as ordinal
, whose i-th component is the
probability of the i-th observation according to a CUB distribution with the corresponding values
of the covariates for the feeling component and coefficients specified in gama
.
Piccolo D. (2006). Observed Information Matrix for MUB Models,
Quaderni di Statistica, 8, 33–78
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. (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
bitgama
, probcub00
, probcubp0
,
probcubpq
data(relgoods) m<-10 naord<-which(is.na(relgoods$Physician)) nacov<-which(is.na(relgoods$Gender)) na<-union(naord,nacov) ordinal<-relgoods$Physician[-na] W<-relgoods$Gender[-na] pai<-0.44; gama<-c(-0.91,-0.7) pr<-probcub0q(m,ordinal,W,pai,gama)