effecube {CUB} | R Documentation |
Auxiliary function for the log-likelihood estimation of CUBE models without covariates
Description
Define the opposite of the scalar function that is maximized when running the E-M algorithm for CUBE models without covariates.
Usage
effecube(paravec, dati, m)
Arguments
paravec |
Vector of initial estimates for the feeling and the overdispersion parameters |
dati |
Matrix binding together a column vector of length |
Details
It is called as an argument for optim within CUBE function (where no covariate is specified) and "cubeforsim" as the function to minimize.
References
Iannario, M. (2014). Modelling Uncertainty and Overdispersion in Ordinal Data,
Communications in Statistics - Theory and Methods, 43, 771–786
[Package CUB version 1.1.5 Index]