lotsout

lotsout is artificially Contaminated Data from Logistic model, using the computed parameter values from the estimates of fited chicken growth <code><a rd-options="" href="/link/Weights?package=nlr&version=0.1-3" data-mini-rdoc="nlr::Weights">Weights</a></code> data.

datasets

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

lotsout function

The format is:
 chr "lotsout"<ul>
<li>lotsout[,1]: predictors repeated two times.</li>
<li>lotsout[,2]: response simulated from the parameter estimates and logistic model.</li>
</ul>

Format

lotsout is artificially Contaminated Data from Logistic model, using the computed parameter values from the estimates of fited chicken growth <code><a rd-options='' href='Weights'>Weights</a></code> data.

lotsout: Artificially Contaminated Data from Logistic model.

Description

Usage

Arguments

Format

Details

References

Examples