resss

compute the sum of squares from <code>resfn</code> at parameters <code>prm</code>

Provides tools for working with nonlinear least squares problems.
For the estimation of models reliable and robust tools than nls(), where the
the Gauss-Newton method frequently stops with 'singular gradient' messages.
This is accomplished by using, where possible, analytic derivatives to compute
the matrix of derivatives and a stabilization of the solution of the estimation
equations. Tools for approximate or externally supplied derivative matrices
are included. Bounds and masks on parameters are handled properly.

John C. Nash

nlsr

Functions for Nonlinear Least Squares Solutions - Updated 2022

Duncan Murdoch

Fernando Miguez

Arkajyoti Bhattacharjee

resss function

<dl><dt>prm</dt>
<dd>a named numeric vector of parameters to the model</dd>
<dt>resfn</dt>
<dd>a function to compute a vector of residuals</dd>
<dt>...</dt>
<dd>Extra information needed to compute the residuals</dd></dl>

Arguments

J C Nash 2014-7-16 nashjc _at_ uottawa.ca

Author

resss — resss

<dl>

<dt>prm</dt>
<dd>a named numeric vector of parameters to the model</dd>


<dt>resfn</dt>
<dd>a function to compute a vector of residuals</dd>


<dt>...</dt>
<dd>Extra information needed to compute the residuals</dd>

</dl>

resss: resss

Description

Usage

Arguments

Author