Package: theft
Type: Package
Title: Tools for Handling Extraction of Features from Time Series
Version: 0.4.1
Date: 2022-07-29
Authors@R: c(
  person("Trent", "Henderson", email = "then6675@uni.sydney.edu.au", role = c("cre", "aut")),
  person("Annie", "Bryant", role = "ctb", comment = "Balanced classification accuracy")
  )
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: 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.
BugReports: https://github.com/hendersontrent/theft/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
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
RoxygenNote: 7.1.1
VignetteBuilder: knitr
URL: https://hendersontrent.github.io/theft/
