Extract log-likelihood value of stochastic metafrontier models

logLik extracts the log-likelihood value(s) from stochastic metafrontier models estimated with sfametafrontier.

Usage

# S3 method for class 'sfametafrontier'
logLik(object, individual = FALSE, ...)

Arguments

object

A stochastic metafrontier model returned by sfametafrontier.

individual

Logical. If FALSE (default), the sum of all observations' log-likelihood values is returned. If TRUE, a vector of each observation's log-likelihood value is returned.

...

Currently ignored.

Value

logLik returns either an object of class 'logLik', which is the log-likelihood value with the total number of observations (nobs) and the number of free parameters (df) as attributes, when individual = FALSE, or a list of elements, containing the log-likelihood of each observation (logLik), the total number of observations (Nobs) and the number of free parameters (df), when individual = TRUE.

See also

sfametafrontier, for the stochastic metafrontier analysis model fitting function using cross-sectional or pooled data.