tsfeatures: Time Series Feature Extraction

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.

Version: 1.0.2
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
Published: 2020-06-07
Author: Rob Hyndman ORCID iD [aut, cre], Yanfei Kang ORCID iD [aut], Pablo Montero-Manso [aut], Thiyanga Talagala ORCID iD [aut], Earo Wang ORCID iD [aut], Yangzhuoran Yang [aut], Mitchell O'Hara-Wild ORCID iD [aut], Souhaib Ben Taieb [ctb], Cao Hanqing [ctb], D K Lake [ctb], Nikolay Laptev [ctb], J R Moorman [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman at monash.edu>
BugReports: https://github.com/robjhyndman/tsfeatures/issues/
License: GPL-3
URL: https://pkg.robjhyndman.com/tsfeatures/
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: tsfeatures results


Reference manual: tsfeatures.pdf
Vignettes: Introduction to the tsfeatures package


Package source: tsfeatures_1.0.2.tar.gz
Windows binaries: r-devel: tsfeatures_1.0.2.zip, r-release: tsfeatures_1.0.2.zip, r-oldrel: tsfeatures_1.0.2.zip
macOS binaries: r-release (arm64): tsfeatures_1.0.2.tgz, r-release (x86_64): tsfeatures_1.0.2.tgz, r-oldrel: tsfeatures_1.0.2.tgz
Old sources: tsfeatures archive

Reverse dependencies:

Reverse imports: gratis, seer
Reverse suggests: mlr


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