theft: Tools for Handling Extraction of Features from Time Series
Consolidates and calculates different sets of time-series features from multiple
'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021) <doi:10.5281/zenodo.5546815>,
'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>,
'tsfeatures' Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020)
<https://CRAN.R-project.org/package=tsfeatures>, 'tsfresh' Christ, M., Braun, N., Neuffer, J.,
and Kempa-Liehr A.W. (2018) <doi:10.1016/j.neucom.2018.03.067>, 'TSFEL' Barandas, M., et al. (2020)
<doi:10.1016/j.softx.2020.100456>, and 'Kats' Facebook Infrastructure Data Science (2021)
<https://facebookresearch.github.io/Kats/>. Provides a standardised workflow from feature calculation to
feature processing, machine learning classification procedures, and the production of statistical graphics.
| Version: |
0.3.9.6 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
rlang, stats, dplyr, ggplot2, tidyr, reshape2, scales, tibble, purrr, broom, tsibble, fabletools, tsfeatures, feasts, Rcatch22, reticulate, Rtsne, R.matlab, plotly, caret, janitor |
| Suggests: |
knitr, markdown, rmarkdown, testthat |
| Published: |
2022-05-31 |
| Author: |
Trent Henderson [cre, aut],
Annie Bryant [ctb] (Balanced classification accuracy) |
| Maintainer: |
Trent Henderson <then6675 at uni.sydney.edu.au> |
| BugReports: |
https://github.com/hendersontrent/theft/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://hendersontrent.github.io/theft/ |
| NeedsCompilation: |
no |
| Materials: |
README |
| In views: |
TimeSeries |
| CRAN checks: |
theft results |
Documentation:
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