Returns a summary list of components for a nonlinear model fitted
by
ms.
USAGE:
summary.ms(object)
REQUIRED ARGUMENTS:
object
the object returned by
ms to fit
a nonlinear model by minimizing the sum of some expression,
such as a negative log-likelihood.
VALUE:
a structure with the appropriate summary information.
parameters
final parameter estimates.
objective
objective value at the final parameter estimate.
message
tells why the algorithm terminated.
gradient
gradient at the final parameter values
(estimated from finite-differences when the model has no gradient attribute).
hessian
Hessian matrix at the final parameter values
(only if the model has a hessian attribute).
formula
formula used for the nonlinear model fitting
information
inverse Hessian matrix at the final parameter values
(only if the model has a hessian attribute).
DETAILS:
This function is a method for the generic function
for class ms.
It can be invoked by
calling
for an object x of the appropriate class,
or directly by
calling
regardless of the class of the object.