{ "_id": "6a101aaaacfb0bcc41c86a67", "Package": "theft", "Type": "Package", "Title": "Tools for Handling Extraction of Features from Time Series", "Version": "0.8.4", "Date": "2026-04-29", "Authors@R": "c(\nperson(\"Trent\", \"Henderson\", email = \"then6675@uni.sydney.edu.au\", role = c(\"cre\", \"aut\")),\nperson(\"Annie\", \"Bryant\", role = \"ctb\")\n)", "Maintainer": "Trent Henderson ", "Description": "Consolidates and calculates different sets of time-series\nfeatures from multiple 'R' and 'Python' packages including\n'Rcatch22' Henderson, T. (2021) ,\n'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021)\n, 'tsfeatures'\nHyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang,\nE., Yang, Y., and O'Hara-Wild, M. (2020)\n, 'tsfresh'\nChrist, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018)\n, 'TSFEL' Barandas, M., et\nal. (2020) , and 'Kats'\nFacebook Infrastructure Data Science (2021)\n.", "BugReports": "https://github.com/hendersontrent/theft/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "URL": "https://hendersontrent.github.io/theft/", "Config/pak/sysreqs": "libicu-dev libpng-dev libssl-dev python3", "Repository": "https://hendersontrent.r-universe.dev", "Date/Publication": "2026-04-29 03:28:13 UTC", "RemoteUrl": "https://github.com/hendersontrent/theft", "RemoteRef": "HEAD", "RemoteSha": "5440cdc8be17fa75302a8fc23bae454ffb154342", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-14 09:38:44 UTC", "User": "root" }, "Author": "Trent Henderson [cre, aut],\nAnnie Bryant [ctb]", "MD5sum": "ff58428a1259ba947356273d0ccb5093", "_user": "hendersontrent", "_type": "src", "_file": "theft_0.8.4.tar.gz", "_fileid": "c13c50bc903c9ca05eb9c10fe9ac5e02f880ba290275df74e2b05b1648973ade", "_filesize": 849316, "_sha256": "c13c50bc903c9ca05eb9c10fe9ac5e02f880ba290275df74e2b05b1648973ade", "_created": "2026-05-14T09:38:44.000Z", "_published": "2026-05-22T08:58:18.758Z", "_distro": "noble", "_jobs": [ { "job": 77348076116, "time": 208, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6991553211" }, { "job": 77348076113, "time": 210, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6991553716" }, { "job": 77348076453, "time": 211, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6991548096" }, { "job": 77348076164, "time": 148, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6991533057" }, { "job": 77348075740, "time": 220, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6991498287" }, { "job": 77348075836, "time": 143, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7156691615" }, { "job": 77348076124, "time": 182, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "6991547000" }, { "job": 77348076583, "time": 157, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "6991540265" }, { "job": 77348076542, "time": 145, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "6991537024" } ], "_buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/25852896584", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/hendersontrent/theft", "_commit": { "id": "5440cdc8be17fa75302a8fc23bae454ffb154342", "author": "Trent Henderson <61951863+hendersontrent@users.noreply.github.com>", "committer": "GitHub ", "message": "Merge pull request #275 from hendersontrent/trent-2026\n\nfixed description", "time": 1777433293 }, "_maintainer": { "name": "Trent Henderson", "email": "then6675@uni.sydney.edu.au" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "utils", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "tsibble", "role": "Imports" }, { "package": "fabletools", "role": "Imports" }, { "package": "feasts", "role": "Imports" }, { "package": "tsfeatures", "role": "Imports" }, { "package": "Rcatch22", "role": "Imports" }, { "package": "reticulate", "role": "Imports" }, { "package": "R.matlab", "role": "Imports" }, { "package": "lifecycle", "role": "Suggests" }, { "package": "cachem", "role": "Suggests" }, { "package": "bslib", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "pkgdown", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "hendersontrent", "_selfowned": true, "_usedby": 1, "_updates": [ { "week": "2025-28", "n": 2 }, { "week": "2025-31", "n": 1 }, { "week": "2025-51", "n": 1 }, { "week": "2026-03", "n": 1 }, { "week": "2026-18", "n": 2 } ], "_tags": [ { "name": "v0.8.1", "date": "2025-07-10" }, { "name": "v0.8.4", "date": "2026-04-29" } ], "_topics": [ "feature-extraction", "machine-learning", "time-series" ], "_stars": 43, "_contributors": [ { "user": "hendersontrent", "count": 499, "uuid": 61951863 }, { "user": "anniegbryant", "count": 8, "uuid": 28914677 }, { "user": "hummuscience", "count": 2, "uuid": 4943380 } ], "_userbio": { "uuid": 61951863, "type": "user", "name": "Trent Henderson", "description": "Accredited Statistician and lead data scientist. 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"init_theft_tsfel", "title": "Communicate to R the Python virtual environment containing tsfel only", "topics": [ "init_theft_tsfel" ] }, { "page": "init_theft_tsfresh", "title": "Communicate to R the Python virtual environment containing tsfresh only", "topics": [ "init_theft_tsfresh" ] }, { "page": "install_kats", "title": "Download and install Kats from Python into a new virtual environment", "topics": [ "install_kats" ] }, { "page": "install_pyhctsa", "title": "Download and install pyhctsa from Python into a new virtual environment", "topics": [ "install_pyhctsa" ] }, { "page": "install_python_pkgs", "title": "Download and install tsfresh, TSFEL, and Kats from Python into a new virtual environment", "topics": [ "install_python_pkgs" ] }, { "page": "install_tsfel", "title": "Download and install TSFEL from Python into a new virtual environment", "topics": [ "install_tsfel" ] }, { "page": "install_tsfresh", "title": "Download and install tsfresh from Python into a new virtual 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