Nonlinear Regression Modelling using Robust Methods
Description
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.)