Provides methods for fast computation of running sample statistics for time series. These include: (1) mean, (2) standard deviation, and (3) variance over a fixed-length window of time-series, (4) correlation, (5) covariance, and (6) Euclidean distance (L2 norm) between short-time pattern and time-series. Implemented methods utilize Convolution Theorem to compute convolutions via Fast Fourier Transform (FFT).
License | GPL 3.0 |
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Tags | rlangcran |
HomePage | https://github.com/martakarass/runstats |
Ranking | #536053 in MvnRepository (See Top Artifacts) |
Version | Vulnerabilities | Repository | Usages | Date |
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1.0.1-b1 | BeDataDriven |
0
| May 01, 2022 |