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:

Reference manual: theftdlc.pdf
Vignettes: Introduction to theftdlc

Downloads:

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

Reverse dependencies:

Reverse suggests: theft

Linking:

Please use the canonical form https://CRAN.R-project.org/package=theftdlc to link to this page.