{ "_id": "6a1eb356b25058d4daadce92", "Package": "boot.heterogeneity", "Type": "Package", "Title": "A Bootstrap-Based Heterogeneity Test for Meta-Analysis", "Version": "1.1.5", "Authors@R": "c(person(\"Ge\", \"Jiang\", role = c(\"aut\", \"cre\"),\nemail = \"gejiang2@illinois.edu\"),\nperson(\"Han\", \"Du\", role = \"aut\", email = \"hdu@psych.ucla.edu\"),\nperson(\"Zijun\", \"Ke\", role = \"ctb\", email = \"keziyun@mail.sysu.edu.cn\"))", "Maintainer": "Ge Jiang ", "Description": "Implements a bootstrap-based heterogeneity test for\nstandardized mean differences (d), Fisher-transformed Pearson's\ncorrelations (r), and natural-logarithm-transformed odds ratio\n(or) in meta-analysis studies. Depending on the presence of\nmoderators, this Monte Carlo based test can be implemented in\nthe random- or mixed-effects model. This package uses rma()\nfunction from the R package 'metafor' to obtain parameter\nestimates and likelihoods, so installation of R package\n'metafor' is required. This approach refers to the studies of\nAnscombe (1956) , Haldane (1940)\n, Hedges (1981)\n, Hedges & Olkin (1985,\nISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler\n(2004) , Viechtbauer (2010)\n, and Zuckerman (1994,\nISBN:978-0521432009).", "License": "GPL (>= 2)", "Encoding": "UTF-8", "URL": "https://github.com/gabriellajg/boot.heterogeneity/", "BugReports": "https://github.com/gabriellajg/boot.heterogeneity/issues", "RoxygenNote": "7.1.2", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libuv1-dev", "Repository": "https://gabriellajg.r-universe.dev", "Date/Publication": "2021-10-18 19:23:55 UTC", "RemoteUrl": "https://github.com/gabriellajg/boot.heterogeneity", "RemoteRef": "HEAD", "RemoteSha": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 10:32:21 UTC", "User": "root" }, "Author": "Ge Jiang [aut, cre],\nHan Du [aut],\nZijun Ke [ctb]", "MD5sum": "907521ffa20dc8424f37c2d5ea743f10", "_user": "gabriellajg", "_type": "src", "_file": "boot.heterogeneity_1.1.5.tar.gz", "_fileid": "fa7469729b1e3af98ee5bba7cab397e22ae963529b1614f41bff9a4dcb416f11", "_filesize": 148748, "_sha256": "fa7469729b1e3af98ee5bba7cab397e22ae963529b1614f41bff9a4dcb416f11", "_created": "2026-06-02T10:32:21.000Z", "_published": "2026-06-02T10:41:26.254Z", "_distro": "noble", "_jobs": [ { "job": 79051357328, "time": 151, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7355350035" }, { "job": 79051357311, "time": 148, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7355349113" }, { "job": 79051357345, "time": 187, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7355465778" }, { "job": 79051357300, "time": 138, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7355417185" }, { "job": 79050798597, "time": 203, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7355298659" }, { "job": 79051357256, "time": 112, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7355337006" }, { "job": 79051357324, "time": 100, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7355333289" }, { "job": 79051357378, "time": 89, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7355329347" }, { "job": 79051357399, "time": 96, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7355331884" } ], "_buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/gabriellajg/boot.heterogeneity", "_commit": { "id": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "author": "gabriellajg <7454640+gabriellajg@users.noreply.github.com>", "committer": "gabriellajg <7454640+gabriellajg@users.noreply.github.com>", "message": "metafor changes\n", "time": 1634585035 }, "_maintainer": { "name": "Ge Jiang", "email": "gejiang2@illinois.edu", "login": "gabriellajg", "linkedin": "in/gejiang2", "description": "Hello! I am an industry DS/AS working on GenAI/LLM applications. Previously, I was an Assistant Professor at UIUC, with a focus on NLP, ML, and Causal Inference", "uuid": 7454640 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.1.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "metafor", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "pbmcapply", "role": "Imports" }, { "package": "HSAUR3", "role": "Imports" }, { "package": "knitr", "role": "Imports" }, { "package": "rmarkdown", "role": "Imports" }, { "package": "base", "role": "Suggests" }, { "package": "roxygen2", "role": "Suggests" }, { "package": "parallel", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "gabriellajg", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "gabriellajg", "count": 10, "uuid": 7454640 } ], "_userbio": { "uuid": 7454640, "type": "user", "name": "Ge ('Gabriella') Jiang", "description": "Hello! I am an industry DS/AS working on GenAI/LLM applications. Previously, I was an Assistant Professor at UIUC, with a focus on NLP, ML, and Causal Inference" }, "_downloads": { "count": 217, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/boot.heterogeneity" }, "_mentions": 143, "_devurl": "https://github.com/gabriellajg/boot.heterogeneity", "_searchresults": 4, "_rbuild": "4.6.0", "_assets": [ "extra/boot.heterogeneity.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/gabriellajg/boot.heterogeneity", "_realowner": "gabriellajg", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2020-05-08" }, { "version": "0.1.1", "date": "2020-09-21" }, { "version": "1.1.2", "date": "2021-01-07" }, { "version": "1.1.5", "date": "2021-10-23" } ], "_exports": [ "boot.d", "boot.fcor", "boot.lnOR" ], "_help": [ { "page": "boot.d", "title": "Standardized Mean Differences (d): Bootstrap-based Heterogeneity Test for Between-study Heterogeneity in Random- or Mixed- Effects Model", "topics": [ "boot.d" ] }, { "page": "boot.fcor", "title": "Fisher-transformed Pearson's correlation: Bootstrap-based Heterogeneity Test for Between-study Heterogeneity in Random- or Mixed- Effects Model", "topics": [ "boot.fcor" ] }, { "page": "boot.lnOR", "title": "Natural-Logarithm-Transformed Odds Ratio (lnOR): Bootstrap-based Heterogeneity Test for Between-study Heterogeneity in Random- or Mixed- Effects Model", "topics": [ "boot.lnOR" ] } ], "_readme": "https://github.com/gabriellajg/boot.heterogeneity/raw/HEAD/README.md", "_rundeps": [ "base64enc", "bslib", "cachem", "cli", "digest", "evaluate", "fastmap", "fontawesome", "fs", "highr", "HSAUR3", "htmltools", "jquerylib", "jsonlite", "knitr", "lattice", "lifecycle", "mathjaxr", "Matrix", "memoise", "metadat", "metafor", "mime", "nlme", "numDeriv", "pbapply", "pbmcapply", "R6", "rappdirs", "rlang", "rmarkdown", "sass", "tinytex", "xfun", "yaml" ], "_vignettes": [ { "source": "boot.heterogeneity.Rmd", "filename": "boot.heterogeneity.html", "title": "A Bootstrap-Based Heterogeneity Test for Between-study Heterogeneity in Meta-Analysis", "engine": "knitr::rmarkdown", "headings": [ "", "Outline", "0. Installation of the package", "1. Standardized Mean Differences (d)", "1.1 Without moderators", "1.2 With moderators", "For the following two examples (Fisher-transformed Pearson's correlations r; log odds ratio OR), no moderators are included, but one can simply include moderators as in section 1.2.", "2. Fisher-transformed Pearson's correlations (r)", "2.1 Heterogeneity magnitude test: lambda=0", "2.2 Heterogeneity magnitude test: lambda=0.08", "3. Log odds ratio (OR)", "3.1 Without parallel implementation", "3.2 With parallel implementation" ], "created": "2020-03-19 03:29:11", "modified": "2021-10-18 19:23:55", "commits": 12 } ], "_score": 4.698970004336019, "_indexed": true, "_nocasepkg": "boot.heterogeneity", "_universes": [ "gabriellajg" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.5", "date": "2026-06-02T10:34:35.000Z", "distro": "noble", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "75e86ac1b780329c18a7a86ac07a81543cea3cf63f9cbd427a8d4b57fe0d7c7d", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" }, { "r": "4.6.0", "os": "linux", "version": "1.1.5", "date": "2026-06-02T10:34:34.000Z", "distro": "noble", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "5f11233b5672d64a5eb48a0b9a1f83db56de8788bc77741315411ce8a5ff24c7", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" }, { "r": "4.5.3", "os": "mac", "version": "1.1.5", "date": "2026-06-02T10:40:13.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "77c99e67501a50721c45a7557c632656d957fe5ccf9430ba24cff75d0eb22da2", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" }, { "r": "4.6.0", "os": "mac", "version": "1.1.5", "date": "2026-06-02T10:37:53.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "bcab0bf2798286379a7a94cc84771a93e16b3ba5cfd1de062facea49012ed401", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.5", "date": "2026-06-02T10:34:29.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "64024ac994b7d88d27da3f2e25ccb966fc1c6b24b5fa862d3b067ece66897519", "status": "success", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" }, { "r": "4.7.0", "os": "win", "version": "1.1.5", "date": "2026-06-02T10:33:43.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "e4f99903910235b9bf646377a1d54ad9bf0513a76a8a2355a207a3ae9215bc8d", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" }, { "r": "4.5.3", "os": "win", "version": "1.1.5", "date": "2026-06-02T10:33:29.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "a34c46d94e31125cd9fb0c4fb998bbdbc709f73448b4268da4bb8db5bfe63109", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" }, { "r": "4.6.0", "os": "win", "version": "1.1.5", "date": "2026-06-02T10:33:38.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "80141ca183f6d5b3e0a81cb65da38632eeeccc69867ea2aac6c20c945cd53825", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/26813925929" } ] }