TSAT gives several approaches for the analysis and forecasting of numerical times series, e.g., Filtering through FFT, Karman Filter, LSTM forecasting, etc. Additionally, TSAT can be used to describe event-pattern detection as a part of complex event processing (CEP) for categorial time series.
Package details |
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Maintainer | Michael Thrun <m.thrun@gmx.net> |
License | CC BY-NC 4.0 |
Version | 1.3.0 |
URL | www.deepbionics.org |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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