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https://github.com/juliadynamics/timeseriessurrogates.jl

A Julia package for generating timeseries surrogates
https://github.com/juliadynamics/timeseriessurrogates.jl

hacktoberfest hypothesis-testing julia nonlinear-time-series surrogate surrogates timeseries

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A Julia package for generating timeseries surrogates

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README

        

# TimeseriesSurrogates.jl

[![docsdev](https://img.shields.io/badge/docs-dev-lightblue.svg)](https://juliadynamics.github.io/DynamicalSystemsDocs.jl/timeseriessurrogates/dev/)
[![docsstable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliadynamics.github.io/DynamicalSystemsDocs.jl/timeseriessurrogates/stable/)
[![](https://img.shields.io/badge/DOI-10.21105/joss.04414-purple)](https://doi.org/10.21105/joss.04414)
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A Julia package for generating timeseries surrogates.
TimeseriesSurrogates.jl is the fastest and most featureful open source code for generating timeseries surrogates.
It can be used as a standalone package, or as part of other projects in JuliaDynamics such as DynamicalSystems.jl or CausalityTools.jl.

To install it, run `import Pkg; Pkg.add("TimeseriesSurrogates")`.

All further information is provided in the documentation, which you can either find online or build locally by running the `docs/make.jl` file.

## Citing

Please use the following BiBTeX entry, or DOI, to cite TimeseriesSurrogates.jl:

DOI: https://doi.org/10.21105/joss.04414

BiBTeX:
```latex
@article{TimeseriesSurrogates.jl,
doi = {10.21105/joss.04414},
url = {https://doi.org/10.21105/joss.04414},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {77},
pages = {4414},
author = {Kristian Agasøster Haaga and George Datseris},
title = {TimeseriesSurrogates.jl: a Julia package for generating surrogate data},
journal = {Journal of Open Source Software}
}
```