Time Series Feature Extraction R package tsfeatures version 1.1.1 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Methods for extracting various features from time series data. The features provided are those from Hyndman, Wang and Laptev (2013) <doi:10.1109/ICDMW.2015.104>, Kang, Hyndman and Smith-Miles (2017) <doi:10.1016/j.ijforecast.2016.09.004> and from Fulcher, Little and Jones (2013) <doi:10.1098/rsif.2013.0048>. Features include spectral entropy, autocorrelations, measures of the strength of seasonality and trend, and so on. Users can also define their own feature functions. Software Depends: R (>= 3.6.0) Imports: fracdiff, forecast (>= 8.3), purrr, RcppRoll (>= 0.2.2), stats, tibble, tseries, urca, future, furrr Suggests: testthat, knitr, rmarkdown, ggplot2, tidyr, dplyr, Mcomp, GGally Rob Hyndman <Rob.Hyndman@monash.edu> Comprehensive R Archive Network (CRAN) Rob Hyndman [aut, cre] (ORCID: <https://orcid.org/0000-0002-2140-5352>), Yanfei Kang [aut] (ORCID: <https://orcid.org/0000-0001-8769-6650>), Pablo Montero-Manso [aut], Mitchell O'Hara-Wild [aut] (ORCID: <https://orcid.org/0000-0001-6729-7695>), Thiyanga Talagala [aut] (ORCID: <https://orcid.org/0000-0002-0656-9789>), Earo Wang [aut] (ORCID: <https://orcid.org/0000-0001-6448-5260>), Yangzhuoran Yang [aut], Souhaib Ben Taieb [ctb], Cao Hanqing [ctb], D K Lake [ctb], Nikolay Laptev [ctb], J R Moorman [ctb], Bohan Zhang [ctb] GPL-3 2023-08-28 application/tgz https://CRAN.R-project.org/package=tsfeatures doi:10.32614/CRAN.package.tsfeatures