{ "_id": "6a17eba9acfb0bcc41da3755", "Package": "NMA", "Type": "Package", "Title": "Network Meta-Analysis Based on Multivariate Meta-Analysis and\nMeta-Regression Models", "Version": "3.1-1", "Date": "2026-01-28", "Authors@R": "c( person(\"Hisashi\", \"Noma\", , \"noma@ism.ac.jp\", role = c(\"aut\",\"cre\"), comment = c(ORCID = \"0000-0002-2520-9949\")), person(\"Kazushi\", \"Maruo\", role=c(\"aut\")), person(\"Shiro\", \"Tanaka\", role=c(\"aut\")), person(\"Toshi A.\", \"Furukawa\", role=c(\"aut\")))", "Maintainer": "Hisashi Noma ", "Description": "Network meta-analysis tools based on contrast-based\napproach using the multivariate meta-analysis and\nmeta-regression models (Noma et al. (2025)\n). Comprehensive analysis\ntools for network meta-analysis and meta-regression (e.g.,\nsynthesis analysis, ranking analysis, and creating league\ntable) are available through simple commands. For inconsistency\nassessment, the local and global inconsistency tests based on\nthe Higgins' design-by-treatment interaction model are\navailable. In addition, the side-splitting methods and\nJackson's random inconsistency model can be applied. Standard\ngraphical tools for network meta-analysis, including network\nplots, ranked forest plots, and transitivity analyses, are also\nprovided. For the synthesis analyses, the Noma-Hamura's\nimproved REML (restricted maximum likelihood)-based methods\n(Noma et al. (2023) \n) are adopted as the default methods.", "URL": "https://github.com/nomahi/NMA", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 07:09:00 UTC", "User": "root" }, "Author": "Hisashi Noma [aut, cre] (ORCID:\n), Kazushi Maruo [aut],\nShiro Tanaka [aut], Toshi A. Furukawa [aut]", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://nomahi.r-universe.dev", "Date/Publication": "2026-01-28 08:50:07 UTC", "RemoteUrl": "https://github.com/cran/NMA", "RemoteRef": "HEAD", "RemoteSha": "3e8b3ac6b47e37eb64d470a43fdc66ac263abf75", "MD5sum": "9750b01ae49b138c3efb9a2fa8dbf85d", "_user": "nomahi", "_type": "src", "_file": "NMA_3.1-1.tar.gz", "_fileid": "a6c7955d93564710b4a6d1fc9004132d3cfa65153234ec5b4e04807dc541b449", "_filesize": 226218, "_sha256": "a6c7955d93564710b4a6d1fc9004132d3cfa65153234ec5b4e04807dc541b449", "_created": "2026-05-28T07:09:00.000Z", "_published": "2026-05-28T07:15:53.409Z", "_distro": "noble", "_jobs": [ { "job": 78241217185, "time": 166, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7259792162" }, { "job": 78241217183, "time": 179, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7259795272" }, { "job": 78241217194, "time": 104, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7259844972" }, { "job": 78241217236, "time": 99, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7259829544" }, { "job": 78240854070, "time": 171, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7259748319" }, { "job": 78241217217, "time": 137, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7259784064" }, { "job": 78241217227, "time": 139, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7259784960" }, { "job": 78241217179, "time": 128, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7259782211" }, { "job": 78241217209, "time": 135, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7259783956" } ], "_buildurl": "https://github.com/r-universe/nomahi/actions/runs/26560114010", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/NMA", "_commit": { "id": "3e8b3ac6b47e37eb64d470a43fdc66ac263abf75", "author": "Hisashi Noma ", "committer": "cran-robot ", "message": "version 3.1-1\n", "time": 1769590207 }, "_maintainer": { "name": "Hisashi Noma", "email": "noma@ism.ac.jp", "login": "nomahi", "orcid": "0000-0002-2520-9949", "description": "Hisashi Noma,\nProfessor of Biostatistics, The Institute of Statistical Mathematics, Tokyo, Japan.", "uuid": 63063772 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "grid", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "metafor", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "forestplot", "role": "Imports" }, { "package": "nleqslv", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-38", "n": 1 }, { "week": "2026-03", "n": 1 }, { "week": "2026-05", "n": 1 } ], "_tags": [ { "name": "2.1-1", "date": "2025-09-18" }, { "name": "2.1-2", "date": "2026-01-12" }, { "name": "3.1-1", "date": "2026-01-28" } ], "_stars": 1, "_contributors": [ { "user": "nomahi", "count": 10, "uuid": 63063772 } ], "_userbio": { "uuid": 63063772, "type": "user", "name": "Hisashi Noma", "description": "Hisashi Noma,\r\nProfessor of Biostatistics, The Institute of Statistical Mathematics, Tokyo, Japan." }, "_downloads": { "count": 220, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/NMA" }, "_devurl": "https://github.com/nomahi/nma", "_searchresults": 7, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/NMA.html", "manual.pdf" ], "_realowner": "nomahi", "_cranurl": false, "_releases": [ { "version": "1.1-1", "date": "2023-07-07" }, { "version": "1.2-1", "date": "2023-07-17" }, { "version": "1.3-1", "date": "2023-08-08" }, { "version": "1.3-2", "date": "2023-08-30" }, { "version": "1.4-1", "date": "2023-12-21" }, { "version": "1.4-2", "date": "2024-02-18" }, { "version": "1.4-3", "date": "2024-05-17" }, { "version": "2.1-1", "date": "2025-09-18" }, { "version": "2.1-2", "date": "2026-01-12" }, { "version": "3.1-1", "date": "2026-01-28" } ], "_exports": [ "global.ict", "local.ict", "netplot", "nma", "nmaforest", "nmafunnel", "nmaleague", "nmaQ", "nmarank", "nmareg", "nmaweight", "obj.forest", "random.icm", "rdc", "setup", "sidesplit", "SumPMA", "trans.armdata", "trans.armdataP", "transitivity" ], "_datasets": [ { "name": "antidiabetic", "title": "Phung et al. 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