Package: theftdlc
Type: Package
Title: Analyse and Interpret Time Series Features
Version: 0.2.2
Date: 2026-01-17
Authors@R: c(
  person("Trent", "Henderson", email = "then6675@uni.sydney.edu.au", role = c("cre", "aut"))
  )
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: 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>.
BugReports: https://github.com/hendersontrent/theftdlc/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0), theft (>= 0.8.1)
Imports: rlang, stats, tibble, dplyr, ggplot2, tidyr, purrr, furrr,
        future, reshape2, scales, broom, Rtsne, e1071, janitor, umap,
        MASS, mclust, normaliseR, correctR, glmnet
Suggests: lifecycle, cachem, bslib, knitr, rmarkdown, pkgdown, testthat
RoxygenNote: 7.3.3
VignetteBuilder: knitr
URL: https://hendersontrent.github.io/theftdlc/
Config/pak/sysreqs: libicu-dev libpng-dev libssl-dev python3
Repository: https://hendersontrent.r-universe.dev
Date/Publication: 2026-01-16 22:37:14 UTC
RemoteUrl: https://github.com/hendersontrent/theftdlc
RemoteRef: HEAD
RemoteSha: 22c91ee652db2d073d430015767cd65657792bcc
NeedsCompilation: no
Packaged: 2026-06-09 11:34:29 UTC; root
Author: Trent Henderson [cre, aut]