TSrepr (1.0.0)

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.

Maintainer: Peter Laurinec
Author(s): Peter Laurinec [aut, cre]

License: GPL-3 | file LICENSE

Uses: dtt, MASS, mgcv, quantreg, Rcpp, wavelets, ggplot2, moments, data.table, knitr, rmarkdown

Released about 2 years ago.