nlsrSS

This function uses the <code><a href="/link/getInitial()?package=nlsr&version=2023.8.31" data-mini-rdoc="nlsr::getInitial()">getInitial()</a></code> function to estimate starting parameters for
a Gauss-Newton iteration, then calls <code>nlsr::nlxb()</code> appropriately to find a solution
to the required nonlinear least squares problem.

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

nlsrSS function

<dl><dt>formula</dt>
<dd>a model formula incorporating a selfStart function in the right hand side</dd>
<dt>data</dt>
<dd>a data frame with named columns that allow evaluation of the <code>formula</code></dd></dl>

Arguments

J C Nash 2022-9-14 nashjc _at_ uottawa.ca

Author

This function uses the <code><a href='https://rdrr.io/r/stats/getInitial.html'>getInitial()</a></code> function to estimate starting parameters for
a Gauss-Newton iteration, then calls <code>nlsr::nlxb()</code> appropriately to find a solution
to the required nonlinear least squares problem.

nlsrSS - solve selfStart nonlinear least squares with nlsr package — nlsrSS

<dl>

<dt>formula</dt>
<dd>a model formula incorporating a selfStart function in the right hand side</dd>


<dt>data</dt>
<dd>a data frame with named columns that allow evaluation of the <code>formula</code></dd>

</dl>

nlsrSS: nlsrSS - solve selfStart nonlinear least squares with nlsr package

Description

Usage

Value

Arguments

Author