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 <[email protected]>
LicenseGPL-3 | file LICENSE
Version1.0.1
URL https://petolau.github.io/package/ https://github.com/PetoLau/TSrepr/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TSrepr")

Try the TSrepr package in your browser

Any scripts or data that you put into this service are public.

TSrepr documentation built on June 1, 2018, 5:06 p.m.