nlr (version 0.1-3)

atyps: Find atypical points.

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.

Value

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

• jlevjlev jacobian leverages.

• nloutlist of output from nlout function.

Details

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

References

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

See Also

nlsqr

Examples

# NOT RUN {
#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)
# }