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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-devel: theftdlc_0.1.0.zip, r-release: theftdlc_0.1.0.zip, r-oldrel: theftdlc_0.1.0.zip
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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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