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https://github.com/cnelias/categoricaltimeseries.jl

Toolbox for categorical time-series analysis.
https://github.com/cnelias/categoricaltimeseries.jl

categorical-data julia time-series-analysis

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Toolbox for categorical time-series analysis.

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# CategoricalTimeSeries.jl

| **Documentation**| **Appveyor** |
|:---------------:|:---------------:|
|[![Documentation Status](https://readthedocs.org/projects/categoricaltimeseriesjl/badge/?version=latest)](https://categoricaltimeseriesjl.readthedocs.io/en/latest/?badge=latest)| [![Build status](https://ci.appveyor.com/api/projects/status/ik7hvhu73kpvpr0r?svg=true)](https://ci.appveyor.com/project/johncwok/categoricaltimeseries-jl)|

Toolbox helpful for the study of *categorical* time-series.
It contains methods used in [spectral envelope](https://categoricaltimeseriesjl.readthedocs.io/en/latest/Spectral_properties/) analysis, [serial dependence](https://categoricaltimeseriesjl.readthedocs.io/en/latest/Correlations/) analysis, [clustering](https://categoricaltimeseriesjl.readthedocs.io/en/latest/Data_clustering/), and [motif recognition](https://categoricaltimeseriesjl.readthedocs.io/en/latest/Motif_recognition/).

## Installation
The package can be installed via:
```Julia
using Pkg
Pkg.add("CategoricalTimeSeries")
```

## Documentation
The [documentation](https://categoricaltimeseriesjl.readthedocs.io/en/latest/) is available at https://categoricaltimeseriesjl.readthedocs.io/en/latest/ and provides comprehensive explanations, examples and a descriptive list of all usefull functions.

### Reference
If you have been using this package in a scientific publication, please consider citing it:
```Bibtex
@article{nelias2021categoricaltimeseries,
title={CategoricalTimeSeries. jl: A toolbox for categorical time-series analysis},
author={Nelias, Corentin},
journal={Journal of Open Source Software},
volume={6},
number={67},
pages={3733},
year={2021}
}
```