{
  "_id": "6a27fb7b24555f66ed54ed8f",
  "Package": "theftdlc",
  "Type": "Package",
  "Title": "Analyse and Interpret Time Series Features",
  "Version": "0.2.2",
  "Date": "2026-01-17",
  "Authors@R": "c(\nperson(\"Trent\", \"Henderson\", email = \"then6675@uni.sydney.edu.au\", role = c(\"cre\", \"aut\"))\n)",
  "Maintainer": "Trent Henderson <then6675@uni.sydney.edu.au>",
  "Description": "Provides a suite of functions for analysing, interpreting,\nand visualising time-series features calculated from different\nfeature sets from the 'theft' package. Implements statistical\nlearning methodologies described in Henderson, T., Bryant, A.,\nand Fulcher, B. (2023) <doi:10.48550/arXiv.2303.17809>.",
  "BugReports": "https://github.com/hendersontrent/theftdlc/issues",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "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": {
    "Date": "2026-06-09 11:34:29 UTC",
    "User": "root"
  },
  "Author": "Trent Henderson [cre, aut]",
  "MD5sum": "73d9f43dd511733c1ef084f22f13e830",
  "_user": "hendersontrent",
  "_type": "src",
  "_file": "theftdlc_0.2.2.tar.gz",
  "_fileid": "3187360646a9a5e0e0fed904a230485bd8001a2d69d116f3cb83384a63e95f64",
  "_filesize": 2398139,
  "_sha256": "3187360646a9a5e0e0fed904a230485bd8001a2d69d116f3cb83384a63e95f64",
  "_created": "2026-06-09T11:34:29.000Z",
  "_published": "2026-06-09T11:39:39.239Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 80312742704,
      "time": 252,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7506483659"
    },
    {
      "job": 80312742732,
      "time": 267,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7506489370"
    },
    {
      "job": 80312742686,
      "time": 188,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7506460422"
    },
    {
      "job": 80312742696,
      "time": 144,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7506445106"
    },
    {
      "job": 80311903215,
      "time": 287,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7506395823"
    },
    {
      "job": 80312742689,
      "time": 153,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7506449036"
    },
    {
      "job": 80312742788,
      "time": 212,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7506469549"
    },
    {
      "job": 80312742741,
      "time": 171,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7506454607"
    },
    {
      "job": 80312742742,
      "time": 258,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7506486182"
    }
  ],
  "_buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/hendersontrent/theftdlc",
  "_commit": {
    "id": "22c91ee652db2d073d430015767cd65657792bcc",
    "author": "Trent Henderson <61951863+hendersontrent@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #45 from hendersontrent/trent-2026\n\nFixes to `plot` and `classify`",
    "time": 1768603034
  },
  "_maintainer": {
    "name": "Trent Henderson",
    "email": "then6675@uni.sydney.edu.au"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "theft",
      "version": ">= 0.8.1",
      "role": "Depends"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "furrr",
      "role": "Imports"
    },
    {
      "package": "future",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "broom",
      "role": "Imports"
    },
    {
      "package": "Rtsne",
      "role": "Imports"
    },
    {
      "package": "e1071",
      "role": "Imports"
    },
    {
      "package": "janitor",
      "role": "Imports"
    },
    {
      "package": "umap",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "mclust",
      "role": "Imports"
    },
    {
      "package": "normaliseR",
      "role": "Imports"
    },
    {
      "package": "correctR",
      "role": "Imports"
    },
    {
      "package": "glmnet",
      "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": 0,
  "_updates": [
    {
      "week": "2025-28",
      "n": 5
    },
    {
      "week": "2025-29",
      "n": 3
    },
    {
      "week": "2025-31",
      "n": 1
    },
    {
      "week": "2025-52",
      "n": 1
    },
    {
      "week": "2026-03",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "v0.2.0",
      "date": "2025-07-10"
    }
  ],
  "_topics": [
    "data-science",
    "data-visualization",
    "machine-learning",
    "statistics",
    "time-series"
  ],
  "_stars": 5,
  "_contributors": [
    {
      "user": "hendersontrent",
      "count": 88,
      "uuid": 61951863
    }
  ],
  "_userbio": {
    "uuid": 61951863,
    "type": "user",
    "name": "Trent Henderson",
    "description": "Accredited Statistician and lead data scientist. Coding in R, Python, Julia, & Stan. Interested in time series, statistical modelling & genetic programming"
  },
  "_downloads": {
    "count": 193,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/theftdlc"
  },
  "_devurl": "https://github.com/hendersontrent/theftdlc",
  "_pkgdown": "https://hendersontrent.github.io/theftdlc/",
  "_searchresults": 17,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/readme.html",
    "extra/readme.md",
    "extra/theftdlc.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/hendersontrent/theftdlc",
  "_realowner": "hendersontrent",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2024-03-14"
    },
    {
      "version": "0.1.2",
      "date": "2024-10-04"
    },
    {
      "version": "0.2.0",
      "date": "2025-07-10"
    },
    {
      "version": "0.2.1",
      "date": "2025-08-01"
    }
  ],
  "_exports": [
    "calculate_interval",
    "classify",
    "cluster",
    "compare_features",
    "filter_duplicates",
    "interval",
    "project",
    "reduce_dims",
    "shrink",
    "tsfeature_classifier"
  ],
  "_help": [
    {
      "page": "classify",
      "title": "Fit classifiers using time-series features using a resample-based approach and get a fast understanding of performance",
      "topics": [
        "classify",
        "tsfeature_classifier"
      ]
    },
    {
      "page": "cluster",
      "title": "Perform cluster analysis of time series using their feature vectors",
      "topics": [
        "cluster"
      ]
    },
    {
      "page": "compare_features",
      "title": "Conduct statistical testing on time-series feature classification performance to identify top features or compare entire sets",
      "topics": [
        "compare_features"
      ]
    },
    {
      "page": "filter_duplicates",
      "title": "Remove duplicate features that exist in multiple feature sets and retain a reproducible random selection of one of them",
      "topics": [
        "filter_duplicates"
      ]
    },
    {
      "page": "filter_good_features",
      "title": "Filter resample data sets according to good feature list",
      "topics": [
        "filter_good_features"
      ]
    },
    {
      "page": "find_good_features",
      "title": "Helper function to find features in both train and test set that are \"good\"",
      "topics": [
        "find_good_features"
      ]
    },
    {
      "page": "fit_models",
      "title": "Fit classification model and compute key metrics",
      "topics": [
        "fit_models"
      ]
    },
    {
      "page": "get_rescale_vals",
      "title": "Calculate central tendency and spread values for all numeric columns in a dataset",
      "topics": [
        "get_rescale_vals"
      ]
    },
    {
      "page": "interval",
      "title": "Calculate interval summaries with a measure of central tendency of classification results",
      "topics": [
        "calculate_interval",
        "interval"
      ]
    },
    {
      "page": "make_title",
      "title": "Helper function for converting to title case",
      "topics": [
        "make_title"
      ]
    },
    {
      "page": "plot.feature_calculations",
      "title": "Produce a plot for a feature_calculations object",
      "topics": [
        "plot.feature_calculations"
      ]
    },
    {
      "page": "plot.feature_projection",
      "title": "Produce a plot for a feature_projection object",
      "topics": [
        "plot.feature_projection"
      ]
    },
    {
      "page": "plot.interval_calculations",
      "title": "Produce a plot for a interval_calculations object",
      "topics": [
        "plot.interval_calculations"
      ]
    },
    {
      "page": "project",
      "title": "Project a feature matrix into a two-dimensional representation using PCA, MDS, t-SNE, or UMAP ready for plotting",
      "topics": [
        "project",
        "reduce_dims"
      ]
    },
    {
      "page": "resample_data",
      "title": "Helper function to create a resampled dataset",
      "topics": [
        "resample_data"
      ]
    },
    {
      "page": "rescale_zscore",
      "title": "Calculate z-score for all columns in a dataset using train set central tendency and spread",
      "topics": [
        "rescale_zscore"
      ]
    },
    {
      "page": "select_stat_cols",
      "title": "Helper function to select only the relevant columns for statistical testing",
      "topics": [
        "select_stat_cols"
      ]
    },
    {
      "page": "shrink",
      "title": "Use a cross validated penalized maximum likelihood generalized linear model to perform feature selection",
      "topics": [
        "shrink"
      ]
    },
    {
      "page": "stat_test",
      "title": "Calculate p-values for feature sets or features relative to an empirical null or each other using resampled t-tests",
      "topics": [
        "stat_test"
      ]
    },
    {
      "page": "theftdlc",
      "title": "Analyse and Interpret Time Series Features",
      "topics": [
        "theftdlc"
      ]
    }
  ],
  "_pkglogo": "https://github.com/hendersontrent/theftdlc/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/hendersontrent/theftdlc/raw/HEAD/README.md",
  "_rundeps": [
    "anytime",
    "askpass",
    "backports",
    "BH",
    "broom",
    "class",
    "cli",
    "codetools",
    "colorspace",
    "correctR",
    "cpp11",
    "curl",
    "digest",
    "distributional",
    "dplyr",
    "e1071",
    "fabletools",
    "farver",
    "feasts",
    "foreach",
    "forecast",
    "fracdiff",
    "furrr",
    "future",
    "generics",
    "ggdist",
    "ggplot2",
    "ggtime",
    "glmnet",
    "globals",
    "glue",
    "gtable",
    "here",
    "hms",
    "isoband",
    "iterators",
    "janitor",
    "jsonlite",
    "labeling",
    "lattice",
    "lifecycle",
    "listenv",
    "lmtest",
    "lubridate",
    "magrittr",
    "MASS",
    "Matrix",
    "mclust",
    "nlme",
    "nnet",
    "normaliseR",
    "numDeriv",
    "openssl",
    "parallelly",
    "pillar",
    "pkgconfig",
    "plyr",
    "png",
    "progressr",
    "proxy",
    "purrr",
    "quadprog",
    "quantmod",
    "R.matlab",
    "R.methodsS3",
    "R.oo",
    "R.utils",
    "R6",
    "rappdirs",
    "Rcatch22",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "RcppRoll",
    "RcppTOML",
    "reshape2",
    "reticulate",
    "rlang",
    "rprojroot",
    "RSpectra",
    "Rtsne",
    "S7",
    "scales",
    "shape",
    "slider",
    "snakecase",
    "stringi",
    "stringr",
    "survival",
    "sys",
    "theft",
    "tibble",
    "tidyr",
    "tidyselect",
    "timechange",
    "timeDate",
    "tseries",
    "tsfeatures",
    "tsibble",
    "TTR",
    "umap",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "warp",
    "withr",
    "xts",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "theftdlc.Rmd",
      "filename": "theftdlc.html",
      "title": "Introduction to theftdlc",
      "author": "Trent Henderson",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Purpose",
        "Core calculation functions",
        "Data quality checks",
        "Data visualisation and low-dimensional projections",
        "Feature matrices",
        "Individual feature distributions",
        "Low dimensional projections",
        "Pairwise correlations",
        "Time-series classification",
        "Feature-by-feature",
        "Multi-feature",
        "Cluster analysis",
        "Feature selection"
      ],
      "created": "2024-02-25 03:25:15",
      "modified": "2025-12-24 05:22:21",
      "commits": 8
    }
  ],
  "_score": 5.32735893438633,
  "_indexed": true,
  "_nocasepkg": "theftdlc",
  "_universes": [
    "hendersontrent"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.2.2",
      "date": "2026-06-09T11:37:56.000Z",
      "distro": "noble",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "add44f9d009d2590c324aac5a1373c2d818c8b26fca105a594c394f32bae7205",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.2.2",
      "date": "2026-06-09T11:37:52.000Z",
      "distro": "noble",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "8ab01ae55f31e4908fb9bdc4117a4b6009546a651c7227350b87139041b88c67",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.2.2",
      "date": "2026-06-09T11:36:52.000Z",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "5b9a1db11c2341a38648487c4c38c1641b35fcf693c2ba355e28f41f99341102",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.2.2",
      "date": "2026-06-09T11:36:25.000Z",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "71fd5df9ba9d8527cdfea0a8fe4d6e3ef566f3b57fd2c599ee3b01dd3617d9e2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.2.2",
      "date": "2026-06-09T11:37:25.000Z",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "17b12589e23f7c3c150ba872129facfa78d7a6433fc29d96469a6bd78f72b3ad",
      "status": "success",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.2.2",
      "date": "2026-06-09T11:37:19.000Z",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "8758a1ac302de4158b43ecd22f5600005bbbd1a868dde210be4057cceee4d379",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.2.2",
      "date": "2026-06-09T11:36:10.000Z",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "4b9a026180110745ae5bcb06c2f85fbd639178234e488839968b925e1e523f92",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.2.2",
      "date": "2026-06-09T11:37:48.000Z",
      "commit": "22c91ee652db2d073d430015767cd65657792bcc",
      "fileid": "d41455f4b34f2e00cbac1e972b49cbee75747d28c779d3414e3e1fb806c18c5a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hendersontrent/actions/runs/27203117956"
    }
  ]
}