{ "_id": "6a508ebbc30f0868bbf2088d", "Package": "mectx", "Type": "Package", "Title": "MEchanistic Clustering - Treatment eXposure Framework", "Version": "1.1.1", "Authors@R": "c(person(given = \"Dipankor\",\nfamily = \"Dhrubo\",\nemail = \"dhrubo.2@osu.edu\",\nrole = c(\"aut\", \"cre\")),\nperson(given = \"Daniel\",\nfamily = \"Spakowicz\",\nrole = c(\"aut\"),\nemail = \"daniel.spakowicz@osumc.edu\",\ncomment = c(ORCID = \"0000-0003-2314-6435\")))", "Description": "Implements the MEC-TX (MEchanistic Clustering - Treatment\neXposure) framework for encoding, clustering, and survival\nanalysis of real-world oncology treatment timelines. Provides\nfunctions for normalising medication records, computing\ntreatment intervals, performing k-means clustering in PCA\nspace, assigning line-of-therapy labels, and comparing survival\noutcomes across treatment groups. Designed for use with\nregistry-based cohorts such as the ORIEN AVATAR dataset.\nMethods follow the digital-twin framework described in Dhrubo\nand Spakowicz (2026) .\ntreatment timelines using the MEC-TX digital-twin framework.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "Date": "2026-04-27", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-10 06:14:21 UTC", "User": "root" }, "Author": "Dipankor Dhrubo [aut, cre], Daniel Spakowicz [aut] (ORCID:\n)", "Maintainer": "Dipankor Dhrubo ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-05-11 20:09:26 UTC", "RemoteUrl": "https://github.com/cran/mectx", "RemoteRef": "HEAD", "RemoteSha": "71351649ec6489fabb1bb7bf4afe8b868e6ea2f3", "_user": "cran", "_type": "src", "_file": "mectx_1.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/e6eaefbc2001b85262ffce950115ce912b9b06ae37e94bd51b1e042f3ff5151f", "_filesize": 328246, "_sha256": 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canonical MEC-TX types via regex, and clips segment start/end times to '[0, horizon_years]'. Zero-duration segments (after clipping) and rows with 'NA' in 'sample', 't0', or 't1' are dropped. Called upstream by 'plot_timeline_for_k()' and 'timeline_panel()' - not intended for direct use.", "topics": [ "prep_segs" ] }, { "page": "standardise_status", "title": "Standardise Survival Status Column to 0/1 Integer", "topics": [ "standardise_status" ] }, { "page": "timeline_panel", "title": "Treatment Timeline Panel for Selected Patients", "topics": [ "timeline_panel" ] }, { "page": "treatment_shares", "title": "Compute per-patient treatment type durations and shares Takes a clipped and recoded segments data frame (output of 'prep_segs') and computes per-patient treatment duration and share for each of the eight canonical treatment types. Returns a wide-format tibble with one row per patient. Called upstream by 'timeline_panel' and 'plot_timeline_for_k' - not intended for direct use.", "topics": [ "treatment_shares" ] }, { "page": "tx_cluster_surv", "title": "Cluster Treatment Timelines and Attach Survival Data", "topics": [ "tx_cluster_surv" ] }, { "page": "tx_compare_groups", "title": "Flexible Survival Comparison by Grouping Variable or Custom Groups", "topics": [ "tx_compare_groups" ] }, { "page": "tx_duration", "title": "Treatment Duration Analysis by Grouping Variable", "topics": [ "tx_duration" ] }, { "page": "tx_focus_dt", "title": "Digital Twin Focus Analysis for a Specific Treatment Type", "topics": [ "tx_focus_dt" ] }, { "page": "tx_intervals", "title": "Convert Normalised Treatment Timeline to Treatment Intervals", "topics": [ "tx_intervals" ] }, { "page": "tx_lines", "title": "Detect Lines of Therapy from Treatment Timelines", "topics": [ "tx_lines" ] }, { "page": "tx_normalize", "title": "Normalise Raw Medication Data into a Grid-Based Treatment Timeline", "topics": [ "tx_normalize" ] }, { "page": "tx_pooled_analysis", "title": "Pooled Treatment Cohort Analysis", "topics": [ "tx_pooled_analysis" ] } ], "_readme": "https://github.com/cran/mectx/raw/HEAD/README.md", "_rundeps": [ "askpass", "backports", "broom", "cli", "cpp11", "dplyr", "farver", "forcats", "generics", "ggnewscale", "ggplot2", "glue", "gtable", "here", "isoband", "jsonlite", "labeling", "lattice", "lifecycle", "magrittr", "Matrix", "openssl", "patchwork", "pillar", "pkgconfig", "png", "purrr", "R6", "rappdirs", "RColorBrewer", "Rcpp", "RcppEigen", "RcppTOML", "reticulate", "rlang", "rprojroot", "RSpectra", "S7", "scales", "stringi", "stringr", "survival", "sys", "tibble", "tidyr", "tidyselect", "umap", "utf8", "vctrs", "viridisLite", "withr" ], "_score": 1.6989700043360187, "_indexed": true, "_nocasepkg": "mectx", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.1", "date": "2026-07-10T06:17:07.000Z", "distro": "resolute", "commit": "71351649ec6489fabb1bb7bf4afe8b868e6ea2f3", "fileid": "https://r2.ropensci.org/e9a8902897125b1c5698042dea74be79f5aa5d354f44b5e90f53a3d381c144a8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/29073114858" }, { "r": "4.6.1", "os": "linux", "version": "1.1.1", "date": "2026-07-10T06:17:01.000Z", "distro": "resolute", "commit": "71351649ec6489fabb1bb7bf4afe8b868e6ea2f3", "fileid": "https://r2.ropensci.org/a0e0bf0c3e991cad74fdb0dab370141884974eedb2463e412314af08ee67e86c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/29073114858" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.1", "date": "2026-07-10T06:17:01.000Z", "commit": "71351649ec6489fabb1bb7bf4afe8b868e6ea2f3", "fileid": "https://r2.ropensci.org/86aa43b3af99405130cef657ccdcb23e5d2e6ab18f4e40de856f56d4e88ccf03", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/29073114858" } ] }