probgecub: Probability distribution of a GeCUB model

In CUB: A Class of Mixture Models for Ordinal Data

Description

Compute the probability distribution of a GeCUB model, that is a CUB model with shelter effect with covariates specified for all component.

Usage

probgecub(ordinal,Y,W,X,bet,gama,omega,shelter)

Arguments

ordinal	Vector of ordinal responses
Y	Matrix of covariates for explaining the uncertainty component
W	Matrix of covariates for explaining the feeling component
X	Matrix of covariates for explaining the shelter effect
bet	Vector of parameters for the uncertainty component, whose length equals NCOL(Y)+1 to include an intercept term in the model (first entry)
gama	Vector of parameters for the feeling component, whose length equals NCOL(W)+1 to include an intercept term in the model (first entry)
omega	Vector of parameters for the shelter effect, whose length equals NCOL(X)+1 to include an intercept term in the model (first entry)
shelter	Category corresponding to the shelter choice

Value

A vector of the same length as ordinal, whose i-th component is the probability of the i-th observation according to a GeCUB model with the corresponding values of the covariates for all the components and coefficients specified in bet, gama, omega.

References

Iannario M. and Piccolo D. (2016b). A generalized framework for modelling ordinal data. Statistical Methods and Applications, 25, 163–189.

CUB documentation built on March 31, 2020, 5:14 p.m.