{ "_id": "6a1026e6acfb0bcc41c8fbe4", "Package": "autoCovariateSelection", "Type": "Package", "Title": "R Package to Implement Automated Covariate Selection for Two\nExposure Cohorts Using High-Dimensional Propensity Score\nAlgorithm", "Version": "1.0.0", "Author": "Dennis Robert ", "Maintainer": "Dennis Robert ", "Description": "Contains functions to implement automated covariate\nselection using methods described in the high-dimensional\npropensity score (HDPS) algorithm by Schneeweiss et.al.\nCovariate adjustment in real-world-observational-data (RWD) is\nimportant for for estimating adjusted outcomes and this can be\ndone by using methods such as, but not limited to, propensity\nscore matching, propensity score weighting and regression\nanalysis. While these methods strive to statistically adjust\nfor confounding, the major challenge is in selecting the\npotential covariates that can bias the outcomes comparison\nestimates in observational RWD (Real-World-Data). This is where\nthe utility of automated covariate selection comes in. The\nfunctions in this package help to implement the three major\nsteps of automated covariate selection as described by\nSchneeweiss et. al elsewhere. These three functions, in order\nof the steps required to execute automated covariate selection\nare, get_candidate_covariates(), get_recurrence_covariates()\nand get_prioritised_covariates(). In addition to these\nfunctions, a sample real-world-data from publicly available\nde-identified medical claims data is also available for running\nexamples and also for further exploration. The original article\nwhere the algorithm is described by Schneeweiss et.al. (2009)\n .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "URL": "https://github.com/technOslerphile/autoCovariateSelection", "BugReports": "https://github.com/technOslerphile/autoCovariateSelection/issues", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.1", "Repository": "https://technoslerphile.r-universe.dev", "Date/Publication": "2026-02-12 16:59:28 UTC", "RemoteUrl": "https://github.com/technoslerphile/autocovariateselection", "RemoteRef": "HEAD", "RemoteSha": "2df6225cd3d75e86874d78a79706a837d29bddbe", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-13 08:49:06 UTC", "User": "root" }, "MD5sum": "82f0327e48bfbf106674123a39f0faa6", "_user": "technoslerphile", "_type": "src", "_file": "autoCovariateSelection_1.0.0.tar.gz", "_fileid": "3f07c1cc1bd6686e8d72974d9bff7c1e7f8baacb25306461704b33a81f52a9d2", "_filesize": 595705, "_sha256": "3f07c1cc1bd6686e8d72974d9bff7c1e7f8baacb25306461704b33a81f52a9d2", "_created": "2026-05-13T08:49:06.000Z", "_published": "2026-05-22T09:50:30.630Z", "_distro": "noble", "_jobs": [ { "job": 77356110618, "time": 104, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "6965609849" }, { "job": 77356110967, "time": 152, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "6965624982" }, { "job": 77356110736, "time": 146, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "6965614142" }, { "job": 77356110586, "time": 153, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "6965614405" }, { "job": 77356110346, "time": 160, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6965576128" }, { "job": 77356110052, "time": 92, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7157666244" }, { "job": 77356110650, "time": 106, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "6965611207" }, { "job": 77356110684, "time": 80, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "6965602058" }, { "job": 77356110775, "time": 86, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "6965603931" } ], "_buildurl": "https://github.com/r-universe/technoslerphile/actions/runs/25788447980", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/technoslerphile/autocovariateselection", "_commit": { "id": "2df6225cd3d75e86874d78a79706a837d29bddbe", "author": "technOslerphile <8592080+technOslerphile@users.noreply.github.com>", "committer": "GitHub ", "message": "Revise references and add new citation in README\n\nUpdated references and added a new citation for HDPS.", "time": 1770915568 }, "_maintainer": { "name": "Dennis Robert", "email": "dennis.robert.nm@gmail.com", "login": "technoslerphile", "uuid": 8592080 }, "_registered": true, "_dependencies": [ { "package": "dplyr", "role": "Depends" }, { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "purrr", "role": "Imports" }, { "package": "data.table", "role": "Imports" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "technoslerphile", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-07", "n": 5 } ], "_tags": [], "_stars": 4, "_contributors": [ { "user": "technoslerphile", "count": 31, "uuid": 8592080 } ], "_userbio": { "uuid": 8592080, "type": "user", "name": "technOslerphile", "description": "Physician data scientist. 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