tsfeatures (version 1.0.1)

compengine: CompEngine feature set

Description

Calculate the features that have been used in CompEngine database, using method introduced in package hctsa.

Usage

compengine(x)

Arguments

x

the input time series

Value

a vector with CompEngine features

Details

The features involved can be grouped as autocorrelation, prediction, stationarity, distribution, and scaling.

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

autocorr_features

pred_features

station_features

dist_features

scal_features