Description Usage Arguments Details Value Note Author(s) See Also
Provide a summary output (but involving some serious computations!) of
an object of class nlmrt from nlxb
or nlfb
from package
nlmrt
.
1 2 |
object |
An object of class 'nlmrt' |
... |
Any data needed for the function. We do not know of any! |
summary.nlmrt
performs a summary method for an object of class 'nlmrt' that
has been created by a routine such as nlfb
or nlxb
for nonlinear
least squares problems.
Issue: When there are bounded parameters, nls
returns a Standard Error for each of
the parameters. However, this summary does NOT have a Jacobian value (it is set to 0)
for columns where a parameter is masked or at (or very close to) a bound. See the
R
code for the determination of whether we are at a bound. In this case,
users may wish to look in the inst/dev-codes
directory of this package,
where there is a script seboundsnlmrtx.R
that computes the nls()
standard errors for comparison on a simple problem.
Issue: The printsum() of this object includes the singular values of the Jacobian. These are displayed, one per coefficient row, with the coefficients. However, the Jacobian singular values do NOT have a direct correspondence to the coefficients on whose display row they appear. It simply happens that there are as many Jacobian singular values as coefficients, and this is a convenient place to display them. The same issue applies to the gradient components.
returns an invisible copy of the nlmrt object.
Special notes, if any, will appear here.
John C Nash <nashjc@uottawa.ca>
Function nls()
, packages optim
and optimx
.
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