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NlinTS (version 1.3.5)

Non Linear Time Series Analysis

Description

Models for time series forecasting and causality detection. The main functionalities of this package consist of a neural network Vector Auto-Regressive model, the classical causality test C.W.J.Granger (1980) , and a non-linear version of it based on feed-forward neural networks.

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Install

install.packages('NlinTS')

Monthly Downloads

336

Version

1.3.5

License

GNU General Public License

Maintainer

Youssef Hmamouche

Last Published

September 10th, 2018

Functions in NlinTS (1.3.5)

df.test

Augmented Dickey_Fuller test
varmlp

Artificial Neural Network VAR (Vector Auto-Regressive) model using a MultiLayer Perceptron.
causality.test

The Granger causality test
nlin_causality.test

A non linear Granger causality test