Provide a summary output (but involving some serious computations!) of
an object of class nlmrt from
nlfb from package
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
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
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 <[email protected]>
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.