{ "_id": "6abcd41c99f7aa8c6aa4c6d4", "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": "2026-09-30 08:37:08 UTC", "User": "root" }, "Author": "Ge Jiang [aut, cre],\nHan Du [aut],\nZijun Ke [ctb]", "_user": "gabriellajg", "_type": "src", "_file": "boot.heterogeneity_1.1.5.tar.gz", "_fileid": "https://r2.ropensci.org/5ed9d82dc536ebcc20fa1f64dbb7b79f105cd374f28c5e2a841e15143c48ef4d", "_filesize": 151274, "_sha256": "5ed9d82dc536ebcc20fa1f64dbb7b79f105cd374f28c5e2a841e15143c48ef4d", "_expires": "2027-01-08T09:19:22.000Z", "_created": "2026-09-30T08:37:08.000Z", "_published": "2026-09-30T09:19:24.101Z", "_jobs": [ { "job": 109807460944, "time": 154, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11085284099" }, { "job": 109807460963, "time": 154, "config": "linux-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11086315113" }, { "job": 109807460947, "time": 216, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "11087876104" }, { "job": 109807460948, "time": 191, "config": "macos-release-arm64", "r": "4.6.1", "check": "NOTE", "artifact": "11086874581" }, { "job": 109806399066, "time": 185, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11085527606" }, { "job": 109807461139, "time": 132, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11086265381" }, { "job": 109807461152, "time": 105, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11085388443" }, { "job": 109807461041, "time": 92, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "11085602752" }, { "job": 109807461113, "time": 89, "config": "windows-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11085478144" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577", "_status": "success", "_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 }, "_distro": "resolute", "_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", "followers": 25, "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": 405, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/boot.heterogeneity" }, "_mentions": 143, "_devurl": "https://github.com/gabriellajg/boot.heterogeneity", "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/boot.heterogeneity.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/readme.html", "extra/readme.md" ], "_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": "2026-09-30T08:39:25.000Z", "distro": "resolute", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/9d4f69d11f1d190fce3511f5ec2442cd996f08453e620b8652adc17bcff4a734", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" }, { "r": "4.6.1", "os": "linux", "version": "1.1.5", "date": "2026-09-30T08:39:25.000Z", "distro": "resolute", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/b47448f012b44c5a7c702b24f06c31a4f85445cd9dd22df24fad95483bcfbbaa", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" }, { "r": "4.5.3", "os": "mac", "version": "1.1.5", "date": "2026-09-30T09:17:38.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/57921ec9026b3ed6ab2819fefa941eb72589b6b34f2ca92eb32f09c46ee59033", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" }, { "r": "4.6.1", "os": "mac", "version": "1.1.5", "date": "2026-09-30T09:12:15.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/34ec789205a0759c3126567a9c38107d6149754e74b96c6d3706b139fffaf86e", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.5", "date": "2026-09-30T08:39:35.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/48372415ca805fe0973a37cd257efcf23ee3465ba7aa0a459c8040ea7e52df7c", "status": "success", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" }, { "r": "4.7.0", "os": "win", "version": "1.1.5", "date": "2026-09-30T08:38:18.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/6fd4490e4ce39c8e663a8699c94ec849f247167383a0328c56dde9b411e189ce", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" }, { "r": "4.5.3", "os": "win", "version": "1.1.5", "date": "2026-09-30T08:38:26.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/859c867607b06ac39f9866ca7fd63e22ca97ab420985ffcd515e601a0e7e8ddc", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" }, { "r": "4.6.1", "os": "win", "version": "1.1.5", "date": "2026-09-30T08:38:15.000Z", "commit": "a1261717bf79e97fcddd7de31464a98ccd868a4c", "fileid": "https://r2.ropensci.org/bfbb2532c0fde8aa384b9d1cb2c4b81aa8a3b8fc44459079f670d266e34e371f", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/gabriellajg/actions/runs/36690487577" } ] }