theftdlc: Analyse and Interpret Time Series Features
Provides a suite of functions for analysing, interpreting, and visualising time-series features calculated from different feature sets from the 'theft' package. Implements statistical learning methodologies described in Henderson, T., Bryant, A., and Fulcher, B. (2023) <doi:10.48550/arXiv.2303.17809>.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.5.0),theft (≥ 0.8.1) |
| Imports: | rlang, stats,tibble,dplyr,ggplot2,tidyr,purrr,furrr,future,reshape2,scales,broom,Rtsne,e1071,janitor,umap,MASS,mclust,normaliseR,correctR,glmnet |
| Suggests: | lifecycle,cachem,bslib,knitr,rmarkdown,pkgdown,testthat |
| Published: | 2025-07-29 |
| DOI: | 10.32614/CRAN.package.theftdlc |
| Author: | Trent Henderson [cre, aut] |
| Maintainer: | Trent Henderson <then6675 at uni.sydney.edu.au> |
| BugReports: | https://github.com/hendersontrent/theftdlc/issues |
| License: | MIT + fileLICENSE |
| URL: | https://hendersontrent.github.io/theftdlc/ |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | TimeSeries |
| CRAN checks: | theftdlc results |
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