Pars is used to update the coefficients of the model components of object and the individual log-likelihood contributions of each component are added together.
## S3 method for class 'gnlsStruct'logLik(object, Pars, conLin,...)
Arguments
object: an object inheriting from class gnlsStruct, representing a list of model components, such as corStruct and varFunc objects, and attributes specifying the underlying nonlinear model and the response variable.
Pars: the parameter values at which the log-likelihood is to be evaluated.
conLin: an optional condensed linear model object, consisting of a list with components "Xy", corresponding to a regression matrix (X) combined with a response vector (y), and "logLik", corresponding to the log-likelihood of the underlying nonlinear model. Defaults to attr(object, "conLin").
...: some methods for this generic require additional arguments. None are used in this method.
Returns
the log-likelihood for the linear model described by object, evaluated at Pars.