R Observatory: Metrics for theft version 0.8.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

theft

0.8.4Package record

Tools for Handling Extraction of Features from Time Series

1packages depend

4.9Kdownloads / year

24.1%test coverage

13/13flavors OK

Overview

About

Maintained by Trent HendersonCRAN page ↗GitHub ↗Website ↗Issues ↗

Consolidates and calculates different sets of time-series features from multiple 'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021) doi:10.5281/zenodo.5546815, 'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) https://CRAN.R-project.org/package=feasts, 'tsfeatures' Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020) https://CRAN.R-project.org/package=tsfeatures, 'tsfresh' Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018) doi:10.1016/j.neucom.2018.03.067, 'TSFEL' Barandas, M., et al. (2020) doi:10.1016/j.softx.2020.100456, and 'Kats' Facebook Infrastructure Data Science (2021) https://facebookresearch.github.io/Kats/.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("theft", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("hendersontrent/theft")

Development version from hendersontrent/theft. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-theft

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-theft

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-theft

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.7 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
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

Documentation signals are not tracked yet for this package.

WebsiteYes · pkgdown

Vignettes (1)

Introduction to theft

How these are measured

Downloads

4.9K

CRAN downloads in the past year

Rank #6,540 · ~13/day · ~404/mo

theft Releases R versions

Daily download trend is not available in this view yet.

54830 days

1.3K90 days

4.9K1 year

Compare downloads with other packages →

Also on102 r2u9 autocran1.3K conda_forge82 c2d4u

How downloads are counted

Repository

hendersontrent/theft ↗Account: hendersontrent

44Stars

7Forks

3Open issues

1Open PRs

59Releases

637Commits

7Commit identities

time-seriesrmachine-learningfeature-extraction

637 commits · Last activity 2026-06-09 · 0% stars, 30d · Default branch at 0.9.0, ahead of CRAN 0.8.4 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 99%
Median days to close, 50 most recently updated closed issues: 7
Median days to close, 50 most recently updated closed PRs: 0

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/hendersontrent/theft on 2026-10-11.

Continuous integration (1)

GitHub Actions

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-06-09 · The repository has a site deploy workflow

pkgdown site last built 2022-12-07, before release 0.8.4 (2026-04-29)

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

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: 1 from outside contributors, first on 2026-09-30, 1 from forks

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Installing theft adds 81 packages (46 with compiled code, 67 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 3.5.0

Imports (13)

utilsstatsrlang dplyr tidyr purrr tsibble fabletools feasts tsfeatures Rcatch22 reticulate R.matlab

LinkingTo (0)

none

Suggests (7)

lifecycle cachem bslib knitr rmarkdown pkgdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Depends 1

Depends, Imports or LinkingTo, most downloaded first

theftdlc

How these are counted

Code & Tests

Datasets

People & History

People (2)

Trent Henderson

Maintainer since 0.3.9.5 (2022), Author

Annie Bryant

Contributor

Releases (14)

0.8.4Latest
record
2026-04-29 · current release · diff ↗ ·
added 5 exports
init_theft_hctsa, init_theft_kats, init_theft_tsfel, init_theft_tsfresh, install_pyhctsa
R
R 4.6.0 released · 2026-04-24
0.8.2
record
2025-07-29 · diff ↗ ·
added 2 exports
moments, quantiles
0.8.1
record
2025-07-10 · diff ↗ ·
added 3 exports
install_kats, install_tsfel, install_tsfresh
R
R 4.5.0 released · 2025-04-11
unarchivedReturned to CRAN
2024-10-04
0.6.3
record
2024-10-04 · diff ↗
archivedRemoved from CRAN
2024-09-28
requires archived package 'Rcatch22'
R
R 4.4.0 released · 2024-04-24
0.6.1
record
2024-03-11 · diff ↗ ·
removed 12 exports
calculate_interval, compare_features, filter_duplicates, maxabs_scaler, minmax_scaler, normalise, normalize, reduce_dims, robustsigmoid_scaler, sigmoid_scaler, tsfeature_classifier, zscore_scaler
0.5.4.1
record
2023-10-06 · diff ↗
0.5.4
record
2023-10-03 · diff ↗ ·
added 5 exports
maxabs_scaler, minmax_scaler, robustsigmoid_scaler, sigmoid_scaler, zscore_scaler
0.5.3
record
2023-08-11 · diff ↗ ·
added 2 exports
calculate_interval, normalize
0.5.1
record
2023-07-19 · diff ↗ ·
removed 3 exports
compute_top_features, fit_multi_feature_classifier, fit_single_feature_classifier

added 4 exports
compare_features, filter_duplicates, install_python_pkgs, tsfeature_classifier
R
R 4.3.0 released · 2023-04-21
0.4.2.4
record
2023-03-27 · diff ↗

Show 5 earlier eventsHide 5 earlier events

0.4.2.3
record
2023-02-07 · diff ↗ ·
removed 15 exports
check_vector_quality, minmax_scaler, normalise_feature_frame, normalise_feature_vector, normalize_feature_frame, normalize_feature_vector, plot_all_features, plot_feature_correlations, plot_feature_matrix, plot_low_dimension, plot_quality_matrix, plot_ts_correlations, robustsigmoid_scaler, sigmoid_scaler, zscore_scaler

added 2 exports
normalise, reduce_dims
0.4.1.1
record
2022-11-17 · diff ↗
0.3.9.6
record
2022-05-31 · diff ↗ ·
added 1 export
plot_all_features
0.3.9.5
record
2022-04-27
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-04-27
Total releases: 14 / 4 yrs
License: MIT + file LICENSE OSI
Download size: 712 KB

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("theft")

Format

Henderson, T., & Bryant, A. (2026). theft: Tools for Handling Extraction of Features from Time Series (Version 0.8.4) [Computer software]. https://doi.org/10.32614/CRAN.package.theft

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for theft version 0.8.4 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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