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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:1.1.1
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:2023-08-28
DOI:10.32614/CRAN.package.tsfeatures
Author:Rob HyndmanORCID iD [aut, cre], Yanfei KangORCID iD [aut], Pablo Montero-Manso [aut], Mitchell O'Hara-WildORCID iD [aut], Thiyanga TalagalaORCID iD [aut], Earo WangORCID iD [aut], Yangzhuoran Yang [aut], Souhaib Ben Taieb [ctb], Cao Hanqing [ctb], D K Lake [ctb], Nikolay Laptev [ctb], J R Moorman [ctb], Bohan Zhang [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/,https://github.com/robjhyndman/tsfeatures
NeedsCompilation:no
Materials:README,NEWS
In views:TimeSeries
CRAN checks:tsfeatures results

Documentation:

Reference manual:tsfeatures.html ,tsfeatures.pdf
Vignettes:Introduction to the tsfeatures package (source,R code)

Downloads:

Package source: tsfeatures_1.1.1.tar.gz
Windows binaries: r-devel:tsfeatures_1.1.1.zip, r-release:tsfeatures_1.1.1.zip, r-oldrel:tsfeatures_1.1.1.zip
macOS binaries: r-release (arm64):tsfeatures_1.1.1.tgz, r-oldrel (arm64):tsfeatures_1.1.1.tgz, r-release (x86_64):tsfeatures_1.1.1.tgz, r-oldrel (x86_64):tsfeatures_1.1.1.tgz
Old sources: tsfeatures archive

Reverse dependencies:

Reverse imports:gratis,mlmts,seer,theft,timetk
Reverse suggests:mlr,mlr3fda

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tsfeaturesto link to this page.


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