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.
USAGE:
logLik(object, Pars, conLin)
REQUIRED 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.
OPTIONAL ARGUMENTS:
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")'.
VALUE:
the log-likelihood for the linear model described by
object,
evaluated at
Pars.