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.
| Version: | 1.1.0 |
| 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: | 2020-07-13 |
| DOI: | 10.32614/CRAN.package.TSrepr |
| Author: | Peter Laurinec [aut, cre] |
| Maintainer: | Peter Laurinec <tsreprpackage at gmail.com> |
| BugReports: | https://github.com/PetoLau/TSrepr/issues |
| License: | GPL-3 | fileLICENSE |
| 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 |
Documentation:
| Reference manual: | TSrepr.html ,TSrepr.pdf |
| Vignettes: | Extending TSrepr (source,R code) Time series representations in R (source,R code) Use case: clustering time series representations (source,R code) |
Downloads:
| Package source: | TSrepr_1.1.0.tar.gz |
| Windows binaries: | r-devel:TSrepr_1.1.0.zip, r-release:TSrepr_1.1.0.zip, r-oldrel:TSrepr_1.1.0.zip |
| macOS binaries: | r-release (arm64):TSrepr_1.1.0.tgz, r-oldrel (arm64):TSrepr_1.1.0.tgz, r-release (x86_64):TSrepr_1.1.0.tgz, r-oldrel (x86_64):TSrepr_1.1.0.tgz |
| Old sources: | TSrepr archive |
Reverse dependencies:
| Reverse suggests: | modeltime |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=TSreprto link to this page.