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/>.

Package details

AuthorTrent Henderson [cre, aut], Annie Bryant [ctb]
MaintainerTrent Henderson <then6675@uni.sydney.edu.au>
LicenseMIT + file LICENSE
Version0.6.3
URL https://hendersontrent.github.io/theft/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("theft")

Try the theft package in your browser

Any scripts or data that you put into this service are public.

theft documentation built on Oct. 4, 2024, 1:08 a.m.