Description Usage Arguments Details
Compute the opposite of the log-likelihood function for an IHG model with covariates for the preference parameter.
1 | effeihgcov(nu, ordinal, U, m)
|
nu |
Vector of the starting values for the parameters to be estimated, with length equal to NCOL(U)+1 to account for an intercept term (first entry of nu) |
ordinal |
Vector of ordinal responses |
U |
Matrix of the explanatory variables for the preference parameter θ |
m |
Number of ordinal categories |
It is called as an argument for "optim" within IHG function (with covariates) as the function to minimize.
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