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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 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 |
Reference manual: | theftdlc.pdf |
Vignettes: |
Introduction to theftdlc |
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 suggests: | theft |
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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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