The stationarity feature set from software package hctsa

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

Value

a vector with stationarity features

Details

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

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

std1st_der

spreadrandomlocal_meantaul

Author

Yangzhuoran Yang