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: |
0.1.0 |
| Depends: |
R (≥ 3.5.0), theft (≥ 0.6.1) |
| Imports: |
rlang, stats, tibble, dplyr, ggplot2, tidyr, purrr, reshape2, scales, broom, Rtsne, e1071, janitor, umap, MASS, mclust, normaliseR, correctR |
| Suggests: |
lifecycle, cachem, bslib, knitr, markdown, rmarkdown, pkgdown, testthat |
| Published: |
2024-03-14 |
| Author: |
Trent Henderson [cre, aut] |
| Maintainer: |
Trent Henderson <then6675 at uni.sydney.edu.au> |
| BugReports: |
https://github.com/hendersontrent/theftdlc/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://hendersontrent.github.io/theftdlc/ |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
theftdlc results |
Documentation:
Downloads:
Reverse dependencies:
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