Package: theft 0.6.3

Trent Henderson

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/>.

Authors:Trent Henderson [cre, aut], Annie Bryant [ctb]

theft_0.6.3.tar.gz
theft_0.6.3.zip(r-4.5)theft_0.6.3.zip(r-4.4)theft_0.6.3.zip(r-4.3)
theft_0.6.3.tgz(r-4.4-any)theft_0.6.3.tgz(r-4.3-any)
theft_0.6.3.tar.gz(r-4.5-noble)theft_0.6.3.tar.gz(r-4.4-noble)
theft_0.6.3.tgz(r-4.4-emscripten)theft_0.6.3.tgz(r-4.3-emscripten)
theft.pdf |theft.html
theft/json (API)

# Install 'theft' in R:
install.packages('theft', repos = c('https://hendersontrent.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/hendersontrent/theft/issues

Datasets:
  • feature_list - All features available in theft in tidy format
  • simData - Sample of randomly-generated time series to produce function tests and vignettes

On CRAN:

data-visualisationdata-visualizationdimensionality-reductionmachine-learningtime-series

8.05 score 39 stars 1 packages 50 scripts 4.8k downloads 4 exports 86 dependencies

Last updated 2 months agofrom:08b41cbacb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:calculate_featuresinit_theftinstall_python_pkgsprocess_hctsa_file

Dependencies:anytimeBHclicodetoolscolorspacecpp11curldigestdistributionaldplyrellipsisfabletoolsfansifarverfeastsforecastfracdifffurrrfuturegenericsggdistggplot2globalsgluegtablehereisobandjsonlitelabelinglatticelifecyclelistenvlmtestlubridatemagrittrMASSMatrixmgcvmunsellnlmennetnumDerivparallellypillarpkgconfigpngprogressrpurrrquadprogquantmodR.matlabR.methodsS3R.ooR.utilsR6rappdirsRcatch22RColorBrewerRcppRcppArmadilloRcppRollRcppTOMLreticulaterlangrprojrootscalessliderstringistringrtibbletidyrtidyselecttimechangetimeDatetseriestsfeaturestsibbleTTRurcautf8vctrsviridisLitewarpwithrxtszoo

Introduction to theft

Rendered fromtheft.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-10-03
Started: 2021-04-07