varcovcub0q | R Documentation |
Compute the variance-covariance matrix of parameter estimates of a CUB model with covariates for the feeling component.
varcovcub0q(m, ordinal, W, pai, gama)
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) |
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.
Piccolo D.(2006), Observed Information Matrix for MUB Models. Quaderni di Statistica, 8, 33–78,
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)
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