pyrssa: Python package for Singular Spectrum Analysis
This package contains methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series. General description of the methods with many examples can be found in the book Golyandina (2018, <doi:10.1007/978-3-662-57380-8>).
pyrssa is a wrapper over Rssa package made for R language, having its own visualization methods and data structures.
Install
- To install the package, make sure you have any R compiler installed.
- Package installer for the latest released version is available at the Python Package Index (PyPI). To install the package, just run the following command:
pip install pyrssa
Install requires rpy2, numpy, pandas and matplotlib packages of any version (preferable newest ones). These packages will be installed automatically during the default installation.
Documentation
Documentation for pyrssa package is available here.
Examples
Package usage examples are available in examples folder.
Original examples with identical numbering are available here.
Source code
Source code of pyrssa package is available in pyrssa folder.
1 maintainer
Metadata
1 maintainer
Release files for pyrssa 1.0.11
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| File | Size | Uploaded | Provenance | Actions |
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| pyrssa-1.0.11.tar.gz | 3.5 MB | Without provenance | Details for pyrssa-1.0.11.tar.gz |
Release files / pyrssa-1.0.11.tar.gz
| Download URL | pyrssa-1.0.11.tar.gz |
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| Size | 3.5 MB |
| Tags | Source |
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twine/4.0.2 CPython/3.11.4
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Security for pyrssa 1.0.11
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