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README.md

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@@ -6,6 +6,10 @@ This package contains python implementations of the **Singular Spectrum Analysi
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It can be used for the time series analysis and forecasting.
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**Please, take a look on the guides for SSA and MSSA which are available in the [corresponding directory](https://github.com/K-Ibadullaev/py_ssa/tree/main/examples_and_guide) !**
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**NEW:** The [Wiki](https://github.com/K-Ibadullaev/py-ssa-lib/wiki) for the **py-ssa-lib** package is now available and will be periodically updated. It contains some theoretical background about the MSSA and SSA.
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## Installation
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```shell
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## Requirements
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The required packages are listed in the requirements.txt and can be installed from this file via pip.
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However all dependecies should be automatically installed along with installation of the **py-ssa-lib**
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All dependencies should be automatically installed during the installation of the **py-ssa-lib**
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The classes in the **py-ssa-lib** heavily rely on the numpy, scipy, sklearn, pandas and matplotlib libraries.
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## Future Updates
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I intend to introduce the updates once per 3 monthes.
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The comming features might be:
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- Asymptotic Prediction and Confidence Intervals
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- Asymptotic Confidence Intervals
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- Some new data sets for the demonstration purposes
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- Gap Filling
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- Wiki with a bit more informative description of the mathematical background for SSA/MSSA
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- ...

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