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In this\npackage, we propose a novel approach Mixed Effect Gradient\nBoosting ('MEGB'), designed specifically for high-dimensional\nlongitudinal data. 'MEGB' incorporates a flexible\nsemi-parametric model that embeds random effects within the\ngradient boosting framework, allowing it to account for\nwithin-individual covariance over time. Additionally, the\nmethod efficiently handles scenarios where the number of\npredictors greatly exceeds the number of observations (p>>n)\nmaking it particularly suitable for genomics data and other\nlarge-scale biomedical studies.", "License": "GPL-2", "Encoding": "UTF-8", "NeedsCompilation": "no", "RoxygenNote": "7.3.2.9000", "Config/testthat/edition": "3", "Packaged": { "Date": "2026-05-24 08:34:33 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-12-21 23:32:37 UTC", "RemoteUrl": "https://github.com/cran/MEGB", "RemoteRef": "HEAD", "RemoteSha": "8f31612905e9f90ab23e1a697d2f5a98d9657c3f", "MD5sum": "d930e732ea0cbe1b555781f2e17f7518", "_user": "cran", "_type": "src", "_file": "MEGB_0.2.tar.gz", "_fileid": "583c5a877e2eeca65a67e2df2cd58f2128348bc52c8f78687b1fe55e7d0714d5", "_filesize": 151436, "_sha256": "583c5a877e2eeca65a67e2df2cd58f2128348bc52c8f78687b1fe55e7d0714d5", "_created": "2026-05-24T08:34:33.000Z", "_published": "2026-05-24T08:37:33.465Z", "_distro": "noble", "_jobs": [ { "job": 77584058314, "time": 145, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7183702305" }, { "job": 77584058326, "time": 117, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7183699398" }, { "job": 77583920633, "time": 143, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7183687655" }, { "job": 77584058317, "time": 94, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7183697188" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26356434036", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/MEGB", "_commit": { "id": "8f31612905e9f90ab23e1a697d2f5a98d9657c3f", "author": "Oyebayo Ridwan Olaniran ", "committer": "cran-robot ", "message": "version 0.2\n", "time": 1766359957 }, "_maintainer": { "name": "Oyebayo Ridwan Olaniran", "email": "olaniran.or@unilorin.edu.ng" }, "_registered": true, "_dependencies": [ { "package": "stats", "role": "Imports" }, { "package": "gbm", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-51", "n": 1 } ], "_tags": [ { "name": "0.2", "date": "2025-12-21" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 498, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MEGB" }, "_searchresults": 3, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/MEGB.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1", "date": "2025-01-29" }, { "version": "0.2", "date": "2025-12-21" } ], "_exports": [ "MEGB", "simLong" ], "_help": [ { "page": "MEGB", "title": "Mixed Effect Gradient Boosting (MEGB) Algorithm", "topics": [ "MEGB" ] }, { "page": "predict.MEGB", "title": "Predict with longitudinal trees and random forests.", "topics": [ "predict.MEGB" ] }, { "page": "simLong", "title": "Simulate Low/High Dimensional and Linear/Nonlinear Longitudinal dataset.", "topics": [ "simLong" ] } ], "_rundeps": [ "gbm", "lattice", "MASS", "Matrix", "survival" ], "_score": 1, "_indexed": true, "_nocasepkg": "megb", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2", "date": "2026-05-24T08:36:51.000Z", "distro": "noble", "commit": "8f31612905e9f90ab23e1a697d2f5a98d9657c3f", "fileid": "37600defb0f0ed89e8686943f0a8ca49b8f6e31b3016792ad0b4c5fc97ad548d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26356434036" }, { "r": "4.6.0", "os": "linux", "version": "0.2", "date": "2026-05-24T08:36:22.000Z", "distro": "noble", "commit": "8f31612905e9f90ab23e1a697d2f5a98d9657c3f", "fileid": "e2b726120930f11e7c53b85d5d7789ba2852023c6b4857e9abb7ea40e01c7d31", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26356434036" }, { "r": "4.6.0", "os": "wasm", "version": "0.2", "date": "2026-05-24T08:36:24.000Z", "commit": "8f31612905e9f90ab23e1a697d2f5a98d9657c3f", "fileid": "bf248d6680a6e2e69f49bd9924798043ba982127d45e2fa4bf0d9425ca565f71", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26356434036" } ] }