{ "_id": "6a1bd39e1d7bb097a0a14f3b", "Package": "jagstargets", "Title": "Targets for JAGS Pipelines", "Description": "Bayesian data analysis usually incurs long runtimes and\ncumbersome custom code. A pipeline toolkit tailored to Bayesian\nstatisticians, the 'jagstargets' R package is leverages\n'targets' and 'R2jags' to ease this burden. 'jagstargets' makes\nit super easy to set up scalable JAGS pipelines that\nautomatically parallelize the computation and skip expensive\nsteps when the results are already up to date. Minimal custom\ncode is required, and there is no need to manually configure\nbranching, so usage is much easier than 'targets' alone. For\nthe underlying methodology, please refer to the documentation\nof 'targets' and 'JAGS' (Plummer\n2003)\n.", "Version": "1.2.3", "License": "MIT + file LICENSE", "URL": "https://docs.ropensci.org/jagstargets/,\nhttps://github.com/ropensci/jagstargets,\nhttps://r-multiverse.org/topics/bayesian.html", "BugReports": "https://github.com/ropensci/jagstargets/issues", "Authors@R": "c(\nperson(\ngiven = c(\"William\", \"Michael\"),\nfamily = \"Landau\",\nrole = c(\"aut\", \"cre\"),\nemail = \"will.landau.oss@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1878-3253\")\n),\nperson(\ngiven = c(\"David\", \"Lawrence\"),\nfamily = \"Miller\",\nrole = \"rev\",\nemail = \"dave@ninepointeightone.net\"\n),\nperson(\nfamily = \"Eli Lilly and Company\",\nrole = \"cph\"\n))", "SystemRequirements": "JAGS 4.x.y (https://mcmc-jags.sourceforge.net)", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake libglpk-dev make jags libicu-dev libuv1-dev\nlibxml2-dev", "Repository": "https://r-multiverse.r-universe.dev", "Date/Publication": "2024-12-03 12:24:52 UTC", "RemoteUrl": "https://github.com/ropensci/jagstargets", "RemoteRef": "1.2.3", "RemoteSha": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-31 06:12:20 UTC", "User": "root" }, "Author": "William Michael Landau [aut, cre] (ORCID:\n),\nDavid Lawrence Miller [rev],\nEli Lilly and Company [cph]", "Maintainer": "William Michael Landau ", "MD5sum": "28eff116b744c71d5cad728beb1eb2a0", "_user": "r-multiverse", "_type": "src", "_file": "jagstargets_1.2.3.tar.gz", "_fileid": "1e197084b953d9c04c1afcb7209f01a640dc58821a52e9e6404ad22dc79447d8", "_filesize": 268831, "_sha256": "1e197084b953d9c04c1afcb7209f01a640dc58821a52e9e6404ad22dc79447d8", "_created": "2026-05-31T06:12:20.000Z", "_published": "2026-05-31T06:22:22.936Z", "_distro": "noble", "_jobs": [ { "job": 78704688030, "time": 157, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7314341032" }, { "job": 78704688026, "time": 146, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7314339894" }, { "job": 78704688037, "time": 130, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7314374841" }, { "job": 78704688047, "time": 123, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7314381091" }, { "job": 78704503846, "time": 197, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7314324393" }, { "job": 78704688046, "time": 135, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7314338710" }, { "job": 78704688032, "time": 129, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7314338096" }, { "job": 78704688039, "time": 111, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7314336384" }, { "job": 78704688042, "time": 118, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7314337037" } ], "_buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/ropensci/jagstargets", "_commit": { "id": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "author": "Will Landau <1580860+wlandau@users.noreply.github.com>", "committer": "GitHub ", "message": "Update NEWS.md", "time": 1733228692 }, "_maintainer": { "name": "William Michael Landau", "email": "will.landau.oss@gmail.com", "login": "wlandau", "orcid": "0000-0003-1878-3253", "twitter": "@wmlandau", "description": "Statistician and developer", "uuid": 1580860 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "coda", "version": ">= 0.19.4", "role": "Imports" }, { "package": "fst", "version": ">= 0.9.2", "role": "Imports" }, { "package": "posterior", "version": ">= 1.0.1", "role": "Imports" }, { "package": "purrr", "version": ">= 0.3.4", "role": "Imports" }, { "package": "qs2", "role": "Imports" }, { "package": "R2jags", "version": ">= 0.6.1", "role": "Imports" }, { "package": "rjags", "version": ">= 4.10", "role": "Imports" }, { "package": "rlang", "version": ">= 0.4.10", "role": "Imports" }, { "package": "secretbase", "version": ">= 0.4.0", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "targets", "version": ">= 1.6.0", "role": "Imports" }, { "package": "tarchetypes", "version": ">= 0.8.0", "role": "Imports" }, { "package": "tibble", "version": ">= 3.0.1", "role": "Imports" }, { "package": "tidyselect", "role": "Imports" }, { "package": "tools", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "withr", "version": ">= 2.1.2", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.0.2", "role": "Suggests" }, { "package": "fs", "version": ">= 1.5.0", "role": "Suggests" }, { "package": "knitr", "version": ">= 1.30", "role": "Suggests" }, { "package": "qs", "version": ">= 0.23.2", "role": "Suggests" }, { "package": "R.utils", "version": ">= 2.10.1", "role": "Suggests" }, { "package": "rmarkdown", "version": ">= 2.3", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "tidyr", "version": ">= 1.1.2", "role": "Suggests" }, { "package": "visNetwork", "version": ">= 2.0.9", "role": "Suggests" } ], "_owner": "ropensci", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_topics": [ "bayesian", "high-performance-computing", "jags", "make", "r-targetopia", "reproducibility", "rjags", "statistics", "targets", "cpp" ], "_stars": 11, "_contributors": [ { "user": "wlandau", "count": 236, "uuid": 1580860 }, { "user": "wlandau-lilly", "count": 11, "uuid": 22958003 }, { "user": "maelle", "count": 3, "uuid": 8360597 }, { "user": "c198353-ca", "count": 1, "uuid": 35820980 }, { "user": "jeroen", "count": 1, "uuid": 216319 } ], "_userbio": { "uuid": 161461790, "type": "organization", "name": "R-multiverse", "description": "A community-curated collection of R package releases, powered by R-universe" }, "_downloads": { "count": 660, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/jagstargets" }, "_devurl": "https://github.com/ropensci/jagstargets", "_pkgdown": "https://docs.ropensci.org/jagstargets/", "_searchresults": 40, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/jagstargets.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/ropensci/jagstargets", "_realowner": "ropensci", "_cranurl": true, "_releases": [ { "version": "1.0.1", "date": "2021-12-03" }, { "version": "1.0.2", "date": "2022-05-03" }, { "version": "1.0.3", "date": "2022-06-24" }, { "version": "1.0.4", "date": "2022-10-31" }, { "version": "1.1.0", "date": "2023-01-06" }, { "version": "1.2.0", "date": "2024-04-17" }, { "version": "1.2.1", "date": "2024-09-06" }, { "version": "1.2.2", "date": "2024-11-18" } ], "_exports": [ "tar_jags", "tar_jags_df", "tar_jags_example_data", "tar_jags_example_file", "tar_jags_rep_data_batch", "tar_jags_rep_dic", "tar_jags_rep_draws", "tar_jags_rep_run", "tar_jags_rep_summary", "tar_jags_run" ], "_help": [ { "page": "jagstargets-package", "title": "jagstargets: Targets for JAGS Workflows", "topics": [ "jagstargets-package", "jagstargets" ] }, { "page": "tar_jags", "title": "One MCMC per model with multiple outputs", "topics": [ "tar_jags" ] }, { "page": "tar_jags_example_data", "title": "Simulate example JAGS data.", "topics": [ "tar_jags_example_data" ] }, { "page": "tar_jags_example_file", "title": "Write an example JAGS model file.", "topics": [ "tar_jags_example_file" ] }, { "page": "tar_jags_rep_dic", "title": "Tidy DIC output from multiple MCMCs per model", "topics": [ "tar_jags_rep_dic" ] }, { "page": "tar_jags_rep_draws", "title": "Tidy posterior draws from multiple MCMCs per model", "topics": [ "tar_jags_rep_draws" ] }, { "page": "tar_jags_rep_summary", "title": "Tidy posterior summaries from multiple MCMCs per model", "topics": [ "tar_jags_rep_summary" ] } ], "_pkglogo": "https://github.com/ropensci/jagstargets/raw/1.2.3/man/figures/logo.png", "_readme": "https://github.com/ropensci/jagstargets/raw/1.2.3/README.md", "_rundeps": [ "abind", "backports", "base64url", "boot", "callr", "checkmate", "cli", "coda", "codetools", "cpp11", "data.table", "distributional", "dplyr", "evaluate", "fs", "fst", "fstcore", "generics", "glue", "highr", "igraph", "knitr", "lattice", "lifecycle", "magrittr", "Matrix", "matrixStats", "numDeriv", "pillar", "pkgconfig", "posterior", "prettyunits", "processx", "ps", "purrr", "qs2", "R2jags", "R2WinBUGS", "R6", "Rcpp", "RcppParallel", "rjags", "rlang", "secretbase", "stringfish", "stringi", "stringr", "tarchetypes", "targets", "tensorA", "tibble", "tidyselect", "utf8", "vctrs", "withr", "xfun", "yaml" ], "_sysdeps": [ { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2404.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler. It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary." }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "simulation.Rmd", "filename": "simulation.html", "title": "Bayesian simulation pipelines with jagstargets", "engine": "knitr::rmarkdown", "headings": [ "Multiple models", "References" ], "created": "2021-05-08 20:34:20", "modified": "2022-06-24 14:50:49", "commits": 13 }, { "source": "introduction.Rmd", "filename": "introduction.html", "title": "Introduction to jagstargets", "engine": "knitr::rmarkdown", "headings": [ "Multiple models", "More information" ], "created": "2021-05-08 20:34:20", "modified": "2022-06-21 12:37:14", "commits": 12 } ], "_score": 6.2455126678141495, "_indexed": false, "_nocasepkg": "jagstargets", "_universes": [ "r-multiverse" ], "_indexurl": "https://ropensci.r-universe.dev/jagstargets", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.2.3", "date": "2026-05-31T06:14:53.000Z", "distro": "noble", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "2eff7ea474dbdcf1a87b661311b10a9629d11ceafcd854b40558faa77f167682", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" }, { "r": "4.6.0", "os": "linux", "version": "1.2.3", "date": "2026-05-31T06:14:46.000Z", "distro": "noble", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "36ed16428bd0af0dd47d79be19a26732d2da06bb84b9ecce7b7f6a28ca195915", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" }, { "r": "4.5.3", "os": "mac", "version": "1.2.3", "date": "2026-05-31T06:20:28.000Z", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "7146fb1efeffa5bb5a19aac66b48842d69cbbd735f2da813747b43c91805fa24", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" }, { "r": "4.6.0", "os": "mac", "version": "1.2.3", "date": "2026-05-31T06:21:29.000Z", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "860695449287082decfeca3d7f3bbb6469e2db9b1cdc5d2b76e8a4f447a47b51", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" }, { "r": "4.6.0", "os": "wasm", "version": "1.2.3", "date": "2026-05-31T06:15:00.000Z", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "2cec47c5a2174fc40d2f737e81b22819ed08e9c7549311cb635270032ac121cf", "status": "success", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" }, { "r": "4.7.0", "os": "win", "version": "1.2.3", "date": "2026-05-31T06:14:19.000Z", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "3d695576c27ca62c56cde3cbf256dfbe664251e29fe0a3ea5a5dc62168f6a432", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" }, { "r": "4.5.3", "os": "win", "version": "1.2.3", "date": "2026-05-31T06:14:02.000Z", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "cf6a9f9124d77a4931c84a97e4a2f5ff0040d100699a6282ac987cbfdf26a62e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" }, { "r": "4.6.0", "os": "win", "version": "1.2.3", "date": "2026-05-31T06:14:08.000Z", "commit": "fef92d0d74f6e9832459ce4bee69396bca21fd3f", "fileid": "824077c8ae7b61a02ff89711a1e1ee8b4deecdccd02e9c3e72c9753fb41de8c9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/26705022745" } ] }