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
DOI: 10.32614/CRAN.package.theftdlc
Author: Trent Henderson [cre, aut]
Maintainer: Trent Henderson <then6675 at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: theftdlc results


Reference manual: theftdlc.pdf
Vignettes: Introduction to theftdlc


Package source: theftdlc_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): theftdlc_0.1.0.tgz, r-oldrel (arm64): theftdlc_0.1.0.tgz, r-release (x86_64): theftdlc_0.1.0.tgz, r-oldrel (x86_64): theftdlc_0.1.0.tgz

Reverse dependencies:

Reverse suggests: theft


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