{ "_id": "6acb465ffe5cc25786e8d46a", "Package": "iterativeBMA", "Type": "Package", "Title": "The Iterative Bayesian Model Averaging (BMA) algorithm", "Version": "1.71.0", "Date": "2009-7-22", "Author": "Ka Yee Yeung, University of Washington, Seattle, WA, with\ncontributions from Adrian Raftery and Ian Painter", "Maintainer": "Ka Yee Yeung ", "Description": "The iterative Bayesian Model Averaging (BMA) algorithm is\na variable selection and classification algorithm with an\napplication of classifying 2-class microarray samples, as\ndescribed in Yeung, Bumgarner and Raftery (Bioinformatics 2005,\n21: 2394-2402).", "License": "GPL (>= 2)", "URL": "http://faculty.washington.edu/kayee/research.html", "biocViews": "Microarray, Classification", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:33:04 UTC", "RemoteUrl": "https://github.com/bioc/iterativeBMA", "RemoteRef": "HEAD", "RemoteSha": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-11 07:59:37 UTC", "User": "root" }, "_user": "bioc", "_type": "src", "_file": "iterativeBMA_1.71.0.tar.gz", "_fileid": "https://r2.ropensci.org/b79eb652e1550facbf88ebe7ff3c5ea4baf9b3a4564a2f082abf7e24d8e2edd8", "_filesize": 296104, "_sha256": "b79eb652e1550facbf88ebe7ff3c5ea4baf9b3a4564a2f082abf7e24d8e2edd8", "_expires": "2027-01-19T08:18:37.000Z", "_created": "2026-10-11T07:59:37.000Z", "_published": "2026-10-11T08:18:39.771Z", "_buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672", "_status": "success", "_host": "GitHub-Actions", "_bioccheck": { "error": 1, "warning": 2, "note": 14 }, "_upstream": "https://github.com/bioc/iterativeBMA", "_commit": { "id": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "author": "A Wokaty ", "committer": "A Wokaty ", "message": "bump x.y.z version to odd y following creation of RELEASE_3_23 branch\n", "time": 1777379584 }, "_maintainer": { "name": "Ka Yee Yeung", "email": "kayee@u.washington.edu" }, "_distro": "resolute", "_jobs": [ { "job": 114422208446, "time": 176, "config": "bioc-checks", "r": "4.6.1", "check": "ERROR", "artifact": "11696621021" }, { "job": 114422208459, "time": 172, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11696366513" }, { "job": 114422208470, "time": 196, "config": "linux-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11696171847" }, { "job": 114422208487, "time": 96, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "11696273118" }, { "job": 114422208478, "time": 101, "config": "macos-release-arm64", "r": "4.6.1", "check": "NOTE", "artifact": "11696173372" }, { "job": 114421770733, "time": 157, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11696610661" }, { "job": 114422208480, "time": 91, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11696261483" }, { "job": 114422208449, "time": 88, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11696086988" }, { "job": 114422208468, "time": 86, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "11696605883" }, { "job": 114422208450, "time": 94, "config": "windows-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11696022428" } ], "_registered": true, "_dependencies": [ { "package": "BMA", "role": "Depends" }, { "package": "leaps", "role": "Depends" }, { "package": "Biobase", "version": ">= 2.5.5", "role": "Depends" } ], "_owner": "bioc", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-44", "n": 2 }, { "week": "2026-18", "n": 2 } ], "_tags": [], "_bioc": [ { "branch": "devel", "version": "1.71.0", "bioc": "3.24", "repository": "bioc" }, { "branch": "release", "version": "1.70.0", "bioc": "3.23", "repository": "bioc" } ], "_topics": [ "microarray", "classification" ], "_userbio": { "uuid": 2286807, "type": "organization", "name": "Bioconductor", "followers": 476, "description": "Software for the analysis and comprehension of high-throughput genomic data" }, "_downloads": { "count": 513, "source": "https://www.bioconductor.org/packages/stats/bioc/iterativeBMA" }, "_mentions": 3, "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/iterativeBMA.html", "extra/manual.pdf" ], "_realowner": "bioc", "_cranurl": false, "_exports": [ "bma.predict", "brier.score", "BssWssFast", "imageplot.iterate.bma", "iterateBMAglm.train", "iterateBMAglm.train.predict", "iterateBMAglm.train.predict.test", "iterateBMAglm.wrapper" ], "_datasets": [ { "name": "testClass", "title": "Sample Test Data for the Iterative BMA Algorithm", "object": "testClass", "file": "testClass.RData", "class": [ "numeric" ], "fields": [], "table": false, "tojson": true }, { "name": "testData", "title": "Sample Test Data for the Iterative BMA Algorithm", "object": "testData", "file": "testData.RData", "class": [ "ExpressionSet" ], "fields": [], "table": false, "tojson": false }, { "name": "trainClass", "title": "Sample Training Data for the Iterative BMA Algorithm", "object": "trainClass", "file": "trainClass.RData", "class": [ "numeric" ], "fields": [], "table": false, "tojson": true }, { "name": "trainData", "title": "Sample Training Data for the Iterative BMA Algorithm", "object": "trainData", "file": "trainData.RData", "class": [ "ExpressionSet" ], "fields": [], "table": false, "tojson": false } ], "_help": [ { "page": "iterativeBMA-package", "title": "The Iterative Bayesian Model Averaging (BMA) algorithm", "topics": [ "iterativeBMA-package", "iterativeBMA" ] }, { "page": "bma_predict", "title": "Predicted Probabilities from Bayesian Model Averaging", "topics": [ "bma.predict" ] }, { "page": "brier_score", "title": "Brier Score: assessment of prediction accuracy", "topics": [ "brier.score" ] }, { "page": "BssWssFast", "title": "Between-groups sum-of-squares to within-groups sum-of-squares ratio", "topics": [ "BssWssFast" ] }, { "page": "imageplot_iterate_bma", "title": "An image plot visualization tool", "topics": [ "imageplot.iterate.bma" ] }, { "page": "iterateBMAglm_train", "title": "Iterative Bayesian Model Averaging: training step", "topics": [ "iterateBMAglm.train" ] }, { "page": "iterateBMAglm_train_predict", "title": "Iterative Bayesian Model Averaging: training and prediction", "topics": [ "iterateBMAglm.train.predict" ] }, { "page": "iterateBMAglm_train_predict_test", "title": "Iterative Bayesian Model Averaging: training, prediction and testing", "topics": [ "iterateBMAglm.train.predict.test" ] }, { "page": "iterateBMAglm_wrapper", "title": "Iterative Bayesian Model Averaging", "topics": [ "iterateBMAglm.wrapper" ] }, { "page": "testClass", "title": "Sample Test Data for the Iterative BMA Algorithm", "topics": [ "testClass" ] }, { "page": "testData", "title": "Sample Test Data for the Iterative BMA Algorithm", "topics": [ "testData" ] }, { "page": "trainClass", "title": "Sample Training Data for the Iterative BMA Algorithm", "topics": [ "trainClass" ] }, { "page": "trainData", "title": "Sample Training Data for the Iterative BMA Algorithm", "topics": [ "trainData" ] } ], "_rundeps": [ "Biobase", "BiocGenerics", "BMA", "DEoptimR", "generics", "inline", "lattice", "leaps", "Matrix", "mvtnorm", "pcaPP", "robustbase", "rrcov", "survival" ], "_vignettes": [ { "source": "iterativeBMA.Rnw", "filename": "iterativeBMA.pdf", "title": "The Iterative Bayesian Model Averaging Algorithm", "engine": "utils::Sweave", "headings": [ "Introduction", "Some examples" ], "created": "2013-11-01 20:04:32", "modified": "2013-11-01 20:04:32", "commits": 1 } ], "_score": 3.778151250383644, "_indexed": true, "_nocasepkg": "iterativebma", "_universes": [ "bioc" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.71.0", "date": "2026-10-11T08:02:19.000Z", "distro": "resolute", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/5589e7fd5861fe66a3222feb24ad43bbe7348bf8671f3b781ed215b32caac629", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" }, { "r": "4.6.1", "os": "linux", "version": "1.71.0", "date": "2026-10-11T08:02:47.000Z", "distro": "resolute", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/24b2c7bc3f2cca473be053ec20bb2e3e1f0ac04ff48d20d39d606803169c1604", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" }, { "r": "4.5.3", "os": "mac", "version": "1.71.0", "date": "2026-10-11T08:17:35.000Z", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/d014b1b2ac253dd2ffcbbd410fe5695b1734c453dd791815300b50eb5cdc6fb7", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" }, { "r": "4.6.1", "os": "mac", "version": "1.71.0", "date": "2026-10-11T08:17:48.000Z", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/22624a27d29276eeacfdf100d6293e98061389b078a524df33985c70762869cd", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" }, { "r": "4.6.0", "os": "wasm", "version": "1.71.0", "date": "2026-10-11T08:01:29.000Z", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/b966c90c447a2a8b95bd8488f103ebc38b336ea5b7a85f40e841ef317ca55b81", "status": "success", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" }, { "r": "4.7.0", "os": "win", "version": "1.71.0", "date": "2026-10-11T08:00:45.000Z", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/4d060e1ddf5e878590b0d10897987a1a7a706f6eb21e0295bfc22f344c78982c", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" }, { "r": "4.5.3", "os": "win", "version": "1.71.0", "date": "2026-10-11T08:00:50.000Z", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/cdc83e10b74749e2630e66e12ea7d881aee94b3e304a601c845d43c20dbfdaf4", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" }, { "r": "4.6.1", "os": "win", "version": "1.71.0", "date": "2026-10-11T08:00:59.000Z", "commit": "c138cdaea059d7886c4af7968db6c364ebc0e7a2", "fileid": "https://r2.ropensci.org/0d3aa5fe5d86ca9694caf06d133208ac720dee9c4c5ffec7df7ec9d6551892dc", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/38123095672" } ] }