varcovcub0q: Variance-covariance matrix of CUB models with covariates for...

In CUB: A Class of Mixture Models for Ordinal Data

Description

Compute the variance-covariance matrix of parameter estimates of a CUB model with covariates for the feeling component.

Usage

varcovcub0q(m, ordinal, W, pai, gama)

Arguments

m	Number of ordinal categories
ordinal	Vector of ordinal responses
W	Matrix of covariates for explaining the feeling component
pai	Uncertainty parameter
gama	Vector of parameters for the feeling component, whose length is NCOL(W)+1 to include an intercept term in the model (first entry of gama)

Details

The function checks if the variance-covariance matrix is positive-definite: if not, it returns a warning message and produces a matrix with NA entries.

References

Piccolo D.(2006), Observed Information Matrix for MUB Models. Quaderni di Statistica, 8, 33–78,

Examples

data(univer)
m<-7
ordinal<-univer[,9]
pai<-0.86
gama<-c(-1.94, -0.17)
W<-univer[,4]           
varmat<-varcovcub0q(m, ordinal, W, pai, gama)

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