Auxiliary function for the log-likelihood estimation of IHG models with covariates
Auxiliary function for the log-likelihood estimation of IHG models with covariates
Compute the opposite of the log-likelihood function for an IHG model with covariates for the preference parameter.
effeihgcov(nu, ordinal, U, m)
Arguments
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
Details
It is called as an argument for "optim" within IHG function (with covariates) as the function to minimize.