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theftdlc

0.2.1Package record

Analyse and Interpret Time Series Features

0packages depend
2.8Kdownloads / year
29.2%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 5.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • NOTE12 OK, 1 NOTE2026-06-07
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMEYes · 509 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown
Help pages
20
Examples that run
83%5 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
86%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
5%

Downloads

2.8K
CRAN downloads in the past year
Rank #15,682 · ~8/day · ~234/mo
Daily download trend is not available in this view yet.
29830 days
79190 days
2.8K1 year
Compare downloads with other packages →
Also on99 r2u6 autocran

Repository

6Stars
2Forks
3Open issues
2Open PRs
3Releases
92Commits
3Commit identities
data-sciencedata-visualizationmachine-learningrstatisticstime-series
92 commits · Last activity 2026-01-16 · 0% stars, 30d · Default branch at 0.2.2, ahead of CRAN 0.2.1 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
2
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-02-09 · 42026-07-07 · 6
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/hendersontrent/theftdlc on 2026-10-21.

Continuous integration (1)
GitHub Actions
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-01-16 · The repository has a site deploy workflow

pkgdown site last built 2026-01-16

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

An outside contributor's pull request to this repository was written with an AI coding tool.

From outside contributors
  • Claude Code
    Pull requests: 2 from outside contributors, first on 2026-10-20, 2 from forks
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
27 external dependencies (excludes base and recommended)

Installing theftdlc adds 105 packages (60 with compiled code, 79 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (2)
R >= 3.5.0theft
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Maintainer since 0.1.0 (2024), Author
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    record
    2025-07-29 · current release · diff ↗
  • 0.2.0
    record
    2025-07-10 · diff ↗ ·
    added 1 export
    shrink
  • R
    R 4.5.0 released · 2025-04-11
  • unarchivedReturned to CRAN
    2024-10-04
  • 0.1.2
    record
    2024-10-04 · diff ↗
  • archivedRemoved from CRAN
    2024-09-28
    requires archived package 'theft'
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    record
    2024-03-14
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-14
Total releases
4 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
1.3 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("theftdlc")
Henderson, T. (2025). theftdlc: Analyse and Interpret Time Series Features (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.theftdlc

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for theftdlc version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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