Package: nlr
Type: Package
Title: Nonlinear Regression Modelling using Robust Methods
Version: 0.1-1
Date: 2018-03-14
Author: Hossein Riazoshams
Maintainer: Hossein Riazoshams <riazihosein@gmail.com>
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, Joh Wiley and Sons.)
License: GPL-2
LazyData: yes
Imports: MASS,nlme, robcor, TSA,tseries,stats, GA, quantreg
Depends: R (>= 3.0.0), methods
URL: http://www.riazoshams.com/nlr/
NeedsCompilation: no
Packaged: 2018-03-20 22:38:28 UTC; ben
Repository: CRAN
Date/Publication: 2018-03-21 10:13:42 UTC
Built: R 3.4.4; ; 2019-04-25 21:26:58 UTC; windows
