lotsout: Artificially Contaminated Data from Logistic model.

In nlr: Nonlinear Regression Modelling using Robust Methods

Description

lotsout is artificially Contaminated Data from Logistic model, using the computed parameter values from the estimates of fited chicken growth Weights data.

Usage

data("lotsout")

Format

The format is: chr "lotsout"

• lotsout[,1]: predictors repeated two times.

• lotsout[,2]: response simulated from the parameter estimates and logistic model.

Details

The predictor is similar to predictor of chicken growth Weights data but only repeated two times. The response is simulated from logistic model using the parameters from estimated fit for chicken growth data. This selection is used to mimic a real data example to have more natural behaviour.

Author(s)

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

Source

Robust Nonlinear Regression, with Application Using R, Riazoshams et al, Wiley Inc.

References

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

Examples

lotsout

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