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: |
0.1.2 |
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: |
2024-10-04 |
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 + file LICENSE |
URL: |
https://hendersontrent.github.io/theftdlc/ |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
theftdlc results |
Documentation:
Downloads:
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