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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>.
Version: | 0.1.3 |
Depends: | R (≥ 4.3.0) |
Imports: | bigmemory, caret, checkmate, magrittr, MASS, methods, parallel, parallelly, pryr, statcomp, stats, synchronicity, utils, waveslim, wdm |
Suggests: | spelling, testthat (≥ 3.0.0) |
Published: | 2024-07-02 |
DOI: | 10.32614/CRAN.package.TSEAL |
Author: | Iván Velasco |
Maintainer: | Iván Velasco <ivan.velasco at urjc.es> |
BugReports: | https://github.com/vg-lab/TSEAL/issues |
License: | Artistic-2.0 |
URL: | https://github.com/vg-lab/TSEAL |
NeedsCompilation: | no |
Language: | en-US |
In views: | TimeSeries |
CRAN checks: | TSEAL results |
Reference manual: | TSEAL.pdf |
Package source: | TSEAL_0.1.3.tar.gz |
Windows binaries: | r-devel: TSEAL_0.1.3.zip, r-release: TSEAL_0.1.3.zip, r-oldrel: TSEAL_0.1.3.zip |
macOS binaries: | r-release (arm64): TSEAL_0.1.3.tgz, r-oldrel (arm64): TSEAL_0.1.3.tgz, r-release (x86_64): TSEAL_0.1.3.tgz, r-oldrel (x86_64): TSEAL_0.1.3.tgz |
Old sources: | TSEAL archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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