TSEAL
Time Series Analysis Library
The library allows to perform a multivariate time series classification based on the use of Discrete Wavelet Transform for feature extraction, a step wise discriminant to select the most relevant features and finally, the use of a linear or quadratic discriminant for classification. Note that all these steps can be done separately which allows to implement new steps. Velasco, I., Sipols, A., de Blas, C. S., Pastor, L., & Bayona, S. (2023) <doi:10.1186/S12938-023-01079-X>. Percival, D. B., & Walden, A. T. (2000,ISBN:0521640687). Maharaj, E. A., & Alonso, A. M. (2014) <doi:10.1016/j.csda.2013.09.006>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | TSEAL_0.1.5.tar.gz |
4.0 MiB |
0.1.5 |
rolling linux/noble R-4.5 | TSEAL_0.1.5.tar.gz |
4.0 MiB |
0.1.5 |
rolling source/ R- | TSEAL_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
latest linux/jammy R-4.5 | TSEAL_0.1.5.tar.gz |
4.0 MiB |
0.1.5 |
latest linux/noble R-4.5 | TSEAL_0.1.5.tar.gz |
4.0 MiB |
0.1.5 |
latest source/ R- | TSEAL_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
2026-04-26 source/ R- | TSEAL_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
2026-04-23 source/ R- | TSEAL_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | TSEAL_0.1.5.zip |
4.0 MiB |
0.1.3 |
2025-04-20 source/ R- | TSEAL_0.1.3.tar.gz |
1.6 MiB |