[aut, cre]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.
| Version: | 1.0.3 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 0.12.12), MASS, quantreg, wavelets, mgcv, dtt |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, ggplot2, data.table, moments, testthat |
| Published: | 2019-05-31 |
| Author: | Peter Laurinec
[aut, cre] |
| Maintainer: | Peter Laurinec <tsreprpackage at gmail.com> |
| BugReports: | https://github.com/PetoLau/TSrepr/issues |
| License: | GPL-3 | file LICENSE |
| URL: | https://petolau.github.io/package/, https://github.com/PetoLau/TSrepr/ |
| NeedsCompilation: | yes |
| Citation: | TSrepr citation info |
| Materials: | NEWS |
| In views: | TimeSeries |
| CRAN checks: | TSrepr results |
| Reference manual: | TSrepr.pdf |
| Vignettes: |
Extending TSrepr Time series representations in R Use case: clustering time series representations |
| Package source: | TSrepr_1.0.3.tar.gz |
| Windows binaries: | r-devel: TSrepr_1.0.3.zip, r-devel-gcc8: TSrepr_1.0.3.zip, r-release: TSrepr_1.0.3.zip, r-oldrel: TSrepr_1.0.3.zip |
| OS X binaries: | r-release: TSrepr_1.0.3.tgz, r-oldrel: TSrepr_1.0.3.tgz |
| Old sources: | TSrepr archive |
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