NIST: Complicated nonlinear models from the NIST database
In onls: Orthogonal Nonlinear Least-Squares Regression
NIST R Documentation
Complicated nonlinear models from the NIST database
Description
Fits, by onls, a few complicated nonlinear models from the NIST database (https:/www.itl.nist.gov/div898/strd/nls/nls_main.shtml), i.e. 'Chwirut2', 'Gauss1', 'ENSO' and 'Rat43'.
Usage
NIST(verbose = FALSE)
Arguments
verbose
logical. If TRUE, steps from the onls output are printed to the console.
Value
Output of the models
Author(s)
Andrej-Nikolai Spiess
Examples
NIST()
onls documentation built on Oct. 31, 2022, 5:06 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| NIST | R Documentation |
Complicated nonlinear models from the NIST database
Description
Fits, by onls, a few complicated nonlinear models from the NIST database (https:/www.itl.nist.gov/div898/strd/nls/nls_main.shtml), i.e. 'Chwirut2', 'Gauss1', 'ENSO' and 'Rat43'.
Usage
NIST(verbose = FALSE)
Arguments
verbose |
logical. If |
Value
Output of the models
Author(s)
Andrej-Nikolai Spiess
Examples
NIST()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.