callorNULL-class

characterorNULL-class

expressionorNULL-class

fittmethodorNULL-class

functionorNULL-class

integerorNULL-class

listorNULL-class

logicalorNULL-class

matrixororNULL-class

nl.fitt.roborNULL-class

nl.fittorNULL-class

nl.formorNULL-class

numericorNULL-class

vectororMatrix-class

vectororNULL-class

A set of or classes for compatibility purposes. It is used to be able to identify null values.<ul>
<li>callorNULLcall or NULL class.</li>
<li>characterorNULL character or null.</li>
<li>expressionorNULL expression or null.</li>
<li>fittmethodorNULL fittmethod or null.</li>
<li>functionorNULL function or null.</li>
<li>integerorNULL integer or null.</li>
<li>listorNULL list or null.</li>
<li>logicalorNULL logical or null.</li>
<li>matrixororNULL matrix or null.</li>
<li>nl.fitt.roborNULL nl.fitt.rob or null.</li>
<li>fittorNULL fitt or null.</li>
<li>nl.formorNULL nl.form or null.</li>
<li>nl.numericorNULL numeric or null.</li>
<li>vectororMatrix vector or Matrix.</li>
<li>vectororNULL vector or null.</li>
</ul>

classes

Non-Linear Robust package is developed to handle the problem of
outliers in nonlinear regression,    using robust statistics. It covers
classic methods in nonlinear regression as well. It has facilities to fit
models in the case of auto correlated and heterogeneous variance cases,
while it include tools to detecting outliers in nonlinear regression.
(Riazoshams H, Midi H, and Ghilagaber G, (2018, ISBN:978-1-118-73806-1).
Robust Nonlinear Regression, with Application using R, John Wiley and Sons.)

Hossein Riazoshams

Nonlinear Regression Modelling using Robust Methods

callorNULL-class function

A virtual Class: No objects may be created from it.

Objects from the Class

No methods defined with class "callorNULL" in the signature.

methods

Class <code>"or classes"</code> — callorNULL-class

Class <code>"or classes"</code>

callorNULL-class: Class `"or classes"`

Description

Arguments

Objects from the Class

methods

References

See Also

Examples