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 various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented.
- Version1.1.0
- R versionunknown
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- TSrepr citation info
- Last release07/13/2020
Documentation
Team
Peter Laurinec
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Dependencies
- Imports6 packages
- Suggests6 packages
- Linking To1 package
- Reverse Suggests1 package