compengine: CompEngine feature set

Description Usage Arguments Details Value Author(s) References See Also

View source: R/compengine.R

Description

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

Usage

1

Arguments

x

the input time series

Details

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

Value

a vector with CompEngine 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

autocorr_features

pred_features

station_features

dist_features

scal_features


tsfeatures documentation built on July 1, 2020, 7:12 p.m.