atyps: Find atypical points.

In nlr: Nonlinear Regression Modelling using Robust Methods

Description

This is extension of nlout for which add the jacobian leverage to the output. It is designed for feature development.

Usage

  atyps(nlfited)

Arguments

nlfited

An nl.fitt, nl.fitt.gn, nl.fitt.rob, nl.fitt.rgn obejct after a nonlinear model fitted before.

Details

Compute outlier detection measures by calling nlout function and the ncompute jacobian leverages then dispatches the output.

Value

List of jacobian leverage and list of outlier detection measures derived by nlout.

• jlevjlev jacobian leverages.

• nloutlist of output from nlout function.

Note

Used mostly for internal purposes.

Author(s)

Hossein Riazoshams, Jan 2010. Email: [e-mail] URL http://www.riazoshams.com/nlr/

References

Riazoshams H, Midi H, and Ghilagaber G, 2018,. Robust Nonlinear Regression, with Application using R, Joh Wiley and Sons.

See Also

nlsqr

Examples

#Example
#d<-list(xr=Weights$Date, yr=Weights$Weight)
# wmodel <- nlr(nlrobj1[[2]],data=d,control=nlr.control(method = "OLS",trace=TRUE))
 #a=nlout(wmodel)
#atyps(wmodel)

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