runstats
Fast Computation of Running Statistics for Time Series
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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
rolling linux/noble R-4.5 | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
rolling source/ R- | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
latest linux/jammy R-4.5 | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
latest linux/noble R-4.5 | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
latest source/ R- | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
2026-04-26 source/ R- | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
2026-04-23 source/ R- | runstats_1.1.0.tar.gz |
3.7 MiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | runstats_1.1.0.zip |
3.7 MiB |
1.1.0 |
2025-04-20 source/ R- | runstats_1.1.0.tar.gz |
3.7 MiB |