nlr: Nonlinear Regression Modelling using Robust Methods

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, Joh Wiley and Sons.)

Getting started

Package details

AuthorHossein Riazoshams
MaintainerHossein Riazoshams <[email protected]>
LicenseGPL-2
Version0.1-1
URL http://www.riazoshams.com/nlr/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nlr")

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nlr documentation built on March 21, 2018, 5:03 p.m.