This code base is using the Julia Language and DrWatson
to make a reproducible scientific project, authored by K.Hauke Kraemer and
George Datseris. It contains all the source code for producing the article [kraemer2020]_.
To (locally) reproduce this project, do the following:
Download this code base. Notice that raw data are typically not included in the
git repo and may need to be downloaded independently.
Open a Julia console and do:
.. code-block:: julia
julia> cd("path/to/this/project")
julia> using Pkg; Pkg.activate(".")
julia> Pkg.instantiate()
This will install all necessary packages for you to be able to run the scripts and
everything should work out of the box.
Documentation
This repository is not intended to make a self-contained Julia package, but rather
give readers of [kraemer2020]_ the opportunity to get full access to any source
code.
The PECUZAL method is incorporated and maintained in the
DynamicalSystems.jl-Ecosystem,
specifically in the DelayEmbeddings.jl
package. Here
the reader can find a full documentation and some basic example illustrating the usage of the PECUZAL method.
Citing and reference
If you enjoy this tool and find it valuable for your research please cite
or as BiBTeX-entry:
@misc{kraemer2020,
title={A unified and automated approach to attractor reconstruction},
author={K. H. Kraemer and G. Datseris and J. Kurths and I. Z. Kiss and J. L. Ocampo-Espindola and N. Marwan},
year={2020},
eprint={2011.07040},
archivePrefix={arXiv},
primaryClass={physics.data-an}
url={https://arxiv.org/abs/2011.07040}
}
Licence
This is program is free software and runs under MIT Licence.
