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R
tsfeatures

station_features

The stationarity feature set from software package hctsa

Description

Calculate the features that grouped as stationarity set, which have been used in CompEngine database, using method introduced in package hctsa.

Usage

station_features(x)

Arguments

x

the input time series

Details

Features in this set are std1st_der, spreadrandomlocal_meantaul_50, and spreadrandomlocal_meantaul_ac2.

Value

a vector with autocorrelation features

Author(s)

Yangzhuoran Yang

References

B.D. Fulcher and N.S. Jones. hctsa: A computational framework for automated time-series phenotyping using massive feature extraction. Cell Systems 5, 527 (2017).

B.D. Fulcher, M.A. Little, N.S. Jones Highly comparative time-series analysis: the empirical structure of time series and their methods. J. Roy. Soc. Interface 10, 83 (2013).

See Also

tsfeatures

Time Series Feature Extraction

v1.0.2
GPL-3
Authors
Rob Hyndman [aut, cre] (<https://orcid.org/0000-0002-2140-5352>), Yanfei Kang [aut] (<https://orcid.org/0000-0001-8769-6650>), Pablo Montero-Manso [aut], Thiyanga Talagala [aut] (<https://orcid.org/0000-0002-0656-9789>), Earo Wang [aut] (<https://orcid.org/0000-0001-6448-5260>), Yangzhuoran Yang [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Souhaib Ben Taieb [ctb], Cao Hanqing [ctb], D K Lake [ctb], Nikolay Laptev [ctb], J R Moorman [ctb]
Initial release

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