cube000 | R Documentation |
Estimate and validate a CUBE model without covariates.
cube000(m, ordinal, starting, maxiter, toler, expinform)
m |
Number of ordinal categories |
ordinal |
Vector of ordinal responses |
starting |
Vector of initial estimates to start the optimization algorithm, whose length equals the number of parameters of the model |
maxiter |
Maximum number of iterations allowed for running the optimization algorithm |
toler |
Fixed error tolerance for final estimates |
expinform |
Logical: if TRUE, the function returns the expected variance-covariance matrix |
An object of the class "CUBE"
Iannario, M. (2014). Modelling Uncertainty and Overdispersion in Ordinal Data,
Communications in Statistics - Theory and Methods, 43, 771–786
Iannario, M. (2015). Detecting latent components in ordinal data with overdispersion by means
of a mixture distribution, Quality & Quantity, 49, 977–987
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