Feature-Based Time-Series Analysis in R using the theft Package

@article{Henderson2022FeatureBasedTA,
  title={Feature-Based Time-Series Analysis in R using the theft Package},
  author={Trent Henderson and Ben D. Fulcher},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.06146}
}
Time series are measured and analyzed across the sciences. One method of quantifying the structure of time series is by calculating a set of summary statistics or ‘features’, and then representing a time series in terms of its properties as a feature vector. The resulting feature space is interpretable and informative, and enables conventional statistical learning approaches, including clustering, regression, and classification, to be applied to time-series datasets. Many open-source software… 

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