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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "NlinTS" in publications use:'
type: software
license: GPL-1.0-only
title: 'NlinTS: Models for Non Linear Causality Detection in Time Series'
version: 1.4.7
doi: 10.32614/CRAN.package.NlinTS
abstract: Models for non-linear time series analysis and causality detection. The
  main functionalities of this package consist of an implementation of the classical
  causality test (C.W.J.Granger 1980) <https://doi.org/10.1016/0165-1889(80)90069-X>,
  and a non-linear version of it based on feed-forward neural networks. This package
  contains also an implementation of the Transfer Entropy <https://doi.org/10.1103/PhysRevLett.85.461>,
  and the continuous Transfer Entropy using an approximation based on the k-nearest
  neighbors <https://doi.org/10.1103/PhysRevE.69.066138>. There are also some other
  useful tools, like the VARNN (Vector Auto-Regressive Neural Network) prediction
  model, the Augmented test of stationarity, and the discrete and continuous entropy
  and mutual information.
authors:
- family-names: Hmamouche
  given-names: Youssef
  email: hmamoucheyussef@gmail.com
repository: https://cranhaven.r-universe.dev
commit: 883f877736f11a05cb4e1bc73de66642c8670fa9
date-released: '2026-03-23'
contact:
- family-names: Hmamouche
  given-names: Youssef
  email: hmamoucheyussef@gmail.com