nlobjvarmdls: Variance model objects.

In nlr: Nonlinear Regression Modelling using Robust Methods

Description

List of nl.form objects of pre defined variance models. They use in heteroscedastic variance cases.

• nlrobjvarmdls1 has 7 nonlinear variance model function, with σ^2 as variance.

• nlrobjvarmdls1 has 7 nonlinear variance model function exactly same as nlrobjvarmdls1 but the σ as variance. In fact it can be standard deviation, square roots. But nlr work with variance functions.

• nlrobjvarmdls1 has 3 nonlinear variance model function, in general case they dont include constant variance σ. Variance is general parameteric form Var(error)=H(x,τ)

Usage

  data(nlrobjvarmdls1) 
  
  #nlrobjvarmdls1[[1]] access first element.
  

Format

The format is: chr "nlrobjvarmdls1"

Elements are list of model, each cell is nl.form object.

Details

by index can access any of the nodels, for example nlrobj1[[14]] with name nlrobjvarmdls1[[1]]$name="power" is power model used to fitt the chicken Weights data.

Source

Riazoshams 2015

References

Robust Nonlinear Regression, Theories and Methods with Practical Guides for R Packages. Riazoshams et al.

See Also

nl.form, Weights

Examples

data(nlrobjvarmdls1)
nlrobjvarmdls1

nlr documentation built on July 31, 2019, 5:09 p.m.