Provide a summary output (but involving some serious computations!) of
an object of class nlsr from
nlfb from package
An object of class 'nlsr'
summary.nlsr performs a summary method for an object of class 'nlsr' that
has been created by a routine such as
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 ‘seboundsnlsrx.R’ that computes the
standard errors for comparison on a simple problem.
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
John C Nash <email@example.com>
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