compengine {tsfeatures} | R Documentation |
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 |
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
[Package tsfeatures version 1.1.1 Index]