{ "_id": "6a1ee6b2b401979e734115bf", "Package": "fuseMLR", "Type": "Package", "Title": "Fusing Machine Learning in R", "Version": "0.0.4", "Authors@R": "c(person(given = c(\"Cesaire\", \"J.\"),\nfamily = c(\"K.\", \"Fouodo\"),\nrole = c(\"aut\", \"cre\"),\nemail = \"cesaire.joris.kuete.fouodo@emory.edu\"),\nperson(given = c(\"Marina\"),\nfamily = c(\"Bleskina\"),\nrole = c(\"ctb\"),\nemail = \"marina.bleskina@uni-luebeck.de\")\n)", "Maintainer": "Cesaire J. K. Fouodo ", "Description": "Recent technological advances have enable the simultaneous\ncollection of multi-omics data i.e., different types or\nmodalities of molecular data, presenting challenges for\nintegrative prediction modeling due to the heterogeneous,\nhigh-dimensional nature and possible missing modalities of some\nindividuals. We introduce this package for late integrative\nprediction modeling, enabling modality-specific variable\nselection and prediction modeling, followed by the aggregation\nof the modality-specific predictions to train a final\nmeta-model. This package facilitates conducting late\nintegration predictive modeling in a systematic, structured,\nand reproducible way.", "License": "GPL-3", "Encoding": "UTF-8", "Config/testthat/edition": "3", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Collate": "'Data.R' 'HashTable.R' 'Lrner.R' 'Model.R' 'PredictData.R'\n'PredictLayer.R' 'PredictMetaLayer.R' 'Predicting.R' 'Target.R'\n'TestData.R' 'TestLayer.R' 'TestMetaLayer.R' 'Testing.R'\n'TrainData.R' 'TrainLayer.R' 'TrainMetaLayer.R' 'Training.R'\n'VarSel.R' 'bestLayerLearner.R' 'cobra.R' 'createCobraPred.R'\n'createDif.R' 'createLoss.R' 'createWeights.R' 'multi_omics.R'\n'predict.bestLayerLearner.R' 'predict.cobra.R'\n'weightedMeanLearner.R' 'predict.weightedMeanLearner.R'\n'testingFunctions.R' 'trainingFunctions.R'", "VignetteBuilder": "knitr, rmarkdown", "BugReports": "https://github.com/imbs-hl/fuseMLR/issues", "Repository": "https://imbs-hl.r-universe.dev", "Date/Publication": "2026-05-19 20:44:28 UTC", "RemoteUrl": "https://github.com/imbs-hl/fusemlr", "RemoteRef": "HEAD", "RemoteSha": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-19 22:17:53 UTC", "User": "root" }, "Author": "Cesaire J. K. Fouodo [aut, cre],\nMarina Bleskina [ctb]", "MD5sum": "e563afa549112b715f97004d978eb1d6", "_user": "imbs-hl", "_type": "src", "_file": "fuseMLR_0.0.4.tar.gz", "_fileid": "b8ed21a28808a1c9d010d37308818662a155e8daced2e0153a48d9ac4149fade", "_filesize": 769114, "_sha256": "b8ed21a28808a1c9d010d37308818662a155e8daced2e0153a48d9ac4149fade", "_created": "2026-05-19T22:17:53.000Z", "_published": "2026-06-02T14:20:34.214Z", "_distro": "noble", "_jobs": [ { "job": 79092741793, "time": 147, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7096771268" }, { "job": 79092742885, "time": 154, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7096772704" }, { "job": 79092741906, "time": 135, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7096767875" }, { "job": 79092741840, "time": 112, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7096762071" }, { "job": 79092741367, "time": 269, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7096730920" }, { "job": 79092740971, "time": 135, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7360383710" }, { "job": 79092741508, "time": 153, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7096772507" }, { "job": 79092742759, "time": 113, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7096762338" }, { "job": 79092743091, "time": 98, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7096758631" } ], "_buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/imbs-hl/fusemlr", "_commit": { "id": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "author": "fouodo ", "committer": "fouodo ", "message": "Upload version\n", "time": 1779223468 }, "_maintainer": { "name": "Cesaire J. K. Fouodo", "email": "cesaire.joris.kuete.fouodo@emory.edu" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.6.0", "role": "Depends" }, { "package": "R6", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "digest", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "UpSetR", "version": ">= 1.4.0", "role": "Suggests" }, { "package": "caret", "role": "Suggests" }, { "package": "ranger", "role": "Suggests" }, { "package": "glmnet", "role": "Suggests" }, { "package": "Boruta", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "pROC", "role": "Suggests" }, { "package": "checkmate", "role": "Suggests" } ], "_owner": "imbs-hl", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-21", "n": 2 }, { "week": "2025-41", "n": 1 }, { "week": "2025-42", "n": 6 }, { "week": "2025-43", "n": 1 }, { "week": "2025-44", "n": 1 }, { "week": "2026-21", "n": 4 } ], "_tags": [], "_stars": 7, "_contributors": [ { "user": "fouodo", "count": 301, "uuid": 26463536 }, { "user": "devopseasylearning", "count": 7, "uuid": 96950933 } ], "_userbio": { "uuid": 17331856, "type": "organization", "name": "IMBS", "description": "Universität zu Lübeck" }, "_downloads": { "count": 545, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/fuseMLR" }, "_devurl": "https://github.com/imbs-hl/fusemlr", "_searchresults": 7, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/fuseMLR.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/imbs-hl/fusemlr", "_realowner": "imbs-hl", "_cranurl": true, "_releases": [ { "version": "0.0.1", "date": "2024-12-17" }, { "version": "0.0.2", "date": "2025-10-13" } ], "_exports": [ "bestLayerLearner", "cobra", "createTesting", "createTestLayer", "createTraining", "createTrainLayer", "createTrainMetaLayer", "Data", "extractData", "extractModel", "fusemlr", "HashTable", "Lrner", "Model", "PredictData", "Predicting", "PredictLayer", "PredictMetaLayer", "Target", "TestData", "Testing", "TestLayer", "TestMetaLayer", "TrainData", "Training", "TrainLayer", "TrainMetaLayer", "upsetplot", "VarSel", "varSelection", "weightedMeanLearner" ], "_datasets": [ { "name": "multi_omics", "title": "Simulated multiomics data for 70 training participants and 23 testing participants, each with an effect size of 20 on each layer. Each layer includes 50 participants for training and 20 for testing. Participants do not perfectly overlap across layers. The simulation is based on the R package 'interSIM'.", "object": "multi_omics", "file": "multi_omics.rda", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "bestLayerLearner", "title": "The best layer-specific model is used as meta model.", "topics": [ "bestLayerLearner" ] }, { "page": "cobra", "title": "Cobra Meta Learner", "topics": [ "cobra" ] }, { "page": "createCobraPred", "title": "Create COBRA Predictions", "topics": [ "createCobraPred" ] }, { "page": "createDif", "title": "Create Difference", "topics": [ "createDif" ] }, { "page": "createLoss", "title": "Create Loss", "topics": [ "createLoss" ] }, { "page": "createTesting", "title": "createTesting", "topics": [ "createTesting" ] }, { "page": "createTestLayer", "title": "createTestLayer", "topics": [ "createTestLayer" ] }, { "page": "createTraining", "title": "createTraining", "topics": [ "createTraining" ] }, { "page": "createTrainLayer", "title": "createTrainLayer", "topics": [ "createTrainLayer" ] }, { "page": "createTrainMetaLayer", "title": "createTrainMetaLayer", "topics": [ "createTrainMetaLayer" ] }, { "page": "createWeights", "title": "Create weights for COBRA Predictions", "topics": [ "createWeights" ] }, { "page": "Data", "title": "Abstract class Data", "topics": [ "Data" ] }, { "page": "extractData", "title": "extractData", "topics": [ "extractData" ] }, { "page": "extractModel", "title": "extractModel", "topics": [ "extractModel" ] }, { "page": "fusemlr", "title": "fusemlr", "topics": [ "fusemlr" ] }, { "page": "HashTable", "title": "Class HashTable", "topics": [ "HashTable" ] }, { "page": "Lrner", "title": "Lrner Class", "topics": [ "Lrner" ] }, { "page": "Model", "title": "Model Class", "topics": [ "Model" ] }, { "page": "multi_omics", "title": "Simulated multiomics data for 70 training participants and 23 testing participants, each with an effect size of 20 on each layer. Each layer includes 50 participants for training and 20 for testing. Participants do not perfectly overlap across layers. The simulation is based on the R package 'interSIM'.", "topics": [ "multi_omics" ] }, { "page": "predict.bestLayerLearner", "title": "Best specific Learner prediction.", "topics": [ "predict.bestLayerLearner" ] }, { "page": "predict.cobra", "title": "Predict Using COBRA object", "topics": [ "predict.cobra" ] }, { "page": "predict.Training", "title": "predict.Training", "topics": [ "predict.Training" ] }, { "page": "predict.weightedMeanLearner", "title": "Weighted mean prediction.", "topics": [ "predict.weightedMeanLearner" ] }, { "page": "PredictData", "title": "PredictData Class", "topics": [ "PredictData" ] }, { "page": "Predicting", "title": "Predicting Class", "topics": [ "Predicting" ] }, { "page": "PredictLayer", "title": "PredictLayer Class", "topics": [ "PredictLayer" ] }, { "page": "PredictMetaLayer", "title": "PredictMetaLayer Class", "topics": [ "PredictMetaLayer" ] }, { "page": "summary.Testing", "title": "Testing object Summaries", "topics": [ "summary.Testing" ] }, { "page": "summary.Training", "title": "Training object Summaries", "topics": [ "summary.Training" ] }, { "page": "Target", "title": "Target Class", "topics": [ "Target" ] }, { "page": "TestData", "title": "TestData Class", "topics": [ "TestData" ] }, { "page": "Testing", "title": "Testing Class", "topics": [ "Testing" ] }, { "page": "TestLayer", "title": "TestLayer Class", "topics": [ "TestLayer" ] }, { "page": "TestMetaLayer", "title": "TestMetaLayer Class", "topics": [ "TestMetaLayer" ] }, { "page": "TrainData", "title": "TrainData Class", "topics": [ "TrainData" ] }, { "page": "Training", "title": "Training Class", "topics": [ "Training" ] }, { "page": "TrainLayer", "title": "TrainLayer Class", "topics": [ "TrainLayer" ] }, { "page": "TrainMetaLayer", "title": "TrainMetaLayer Class", "topics": [ "TrainMetaLayer" ] }, { "page": "upsetplot", "title": "upsetplot", "topics": [ "upsetplot" ] }, { "page": "VarSel", "title": "Varsel Class", "topics": [ "VarSel" ] }, { "page": "varSelection", "title": "varSelection", "topics": [ "varSelection" ] }, { "page": "weightedMeanLearner", "title": "The weighted mean meta-learner", "topics": [ "weightedMeanLearner" ] } ], "_readme": "https://github.com/imbs-hl/fusemlr/raw/HEAD/README.md", "_rundeps": [ "digest", "R6" ], "_vignettes": [ { "source": "fuseMLR.Rmd", "filename": "fuseMLR.html", "title": "How does fuseMLR work?", "author": "Cesaire Fouodo", "engine": "knitr::rmarkdown", "headings": [ "A - Introduction", "B - Data", "C - Training", "C.1 - Creating a training", "C.2 - Variable selection", "C.2 - Train", "D - Predicting", "E - Interface and wrapping", "Interface", "Wrapping", "Appendix", "References" ], "created": "2024-12-09 09:49:07", "modified": "2026-05-19 19:48:43", "commits": 11 } ], "_score": 5.3222192947339195, "_indexed": true, "_nocasepkg": "fusemlr", "_universes": [ "imbs-hl" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.0.4", "date": "2026-05-19T22:20:15.000Z", "distro": "noble", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "ab1d4ecdb1fe0f96494846b3e5152aef398c1944f7f1cb98c12f8fab86ed900c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" }, { "r": "4.6.0", "os": "linux", "version": "0.0.4", "date": "2026-05-19T22:20:19.000Z", "distro": "noble", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "8d1d3a8fdd3f7307c39278fc046cb22ad009f0ba9b22ec0eb8c07c1b4a7ff4c0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" }, { "r": "4.5.3", "os": "mac", "version": "0.0.4", "date": "2026-05-19T22:19:55.000Z", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "da29cd43a0f5f7e72520099ca267b6a09414b3f8fa04e4753bdb14da23e05e30", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" }, { "r": "4.6.0", "os": "mac", "version": "0.0.4", "date": "2026-05-19T22:19:44.000Z", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "ae4209ee004634e91bf107fdc2522b105c731b95c98a3a413829afee4633aa78", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" }, { "r": "4.7.0", "os": "win", "version": "0.0.4", "date": "2026-05-19T22:20:08.000Z", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "a8bccf9610728e389e8956ff58365fe2b1d7bc20be02fa8f5cc6955bf149bb73", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" }, { "r": "4.5.3", "os": "win", "version": "0.0.4", "date": "2026-05-19T22:19:21.000Z", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "69d561678c7073a092995f44d95f9c5006e15a1ab2f14222f9ad753553cc83c3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" }, { "r": "4.6.0", "os": "win", "version": "0.0.4", "date": "2026-05-19T22:19:17.000Z", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "9f8b5516523c70a10b5ebe0f8b4c423281df38eb98505fa7e17e460864169474", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" }, { "r": "4.6.0", "os": "wasm", "version": "0.0.4", "date": "2026-06-02T14:19:44.000Z", "commit": "44fc9b91dd7f428e0027c48b40f517b6fa8ec70d", "fileid": "5aaa7a7f64745f6f5c112f334eadda82e37df0de191677184ab2e27e635ddf62", "status": "success", "buildurl": "https://github.com/r-universe/imbs-hl/actions/runs/26128508622" } ] }