This manual outlines the steps required to set up and implement highly comparative time-series analysis using the hctsa package, as described in our papers:
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 Feature-based time-series analysis. Feature Engineering for Machine Learning and Data Analytics, CRC Press, 87-116 (2018). (preprint here)
S.S. Sethi, V. Zerbi, N. Wenderoth, A. Fornito, B.D. Fulcher. Structural connectome topology relates to regional BOLD signal dynamics in the mouse brain. Chaos 27, 047405 (2017) (preprint here).
B.D. Fulcher & N.S. Jones. Highly comparative feature-based time-series classification. IEEE Trans. Knowl. Data Eng. 26, 3026 (2014).
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, 20130048 (2013).
B.D. Fulcher, A.E. Georgieva, C.W.G. Redman, N.S. Jones. Highly comparative fetal heart rate analysis. 34th Ann. Int. Conf. IEEE EMBC 3135 (2012).