TSrepr: Time Series Representations

Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented.

Package details

AuthorPeter Laurinec [aut, cre] (<https://orcid.org/0000-0002-3501-8783>)
MaintainerPeter Laurinec <tsreprpackage@gmail.com>
LicenseGPL-3 | file LICENSE
URL https://petolau.github.io/package/ https://github.com/PetoLau/TSrepr/
Package repositoryView on CRAN
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TSrepr documentation built on March 26, 2020, 1:07 a.m.