{
  "_id": "6a5abec809eb0996dd691571",
  "Package": "adlaplace",
  "Type": "Package",
  "Title": "Laplace Approximations Using Automatic Differentiation",
  "Version": "0.5.2",
  "Authors@R": "person(given=\"Patrick\", family=\"Brown\", email=\"patrick.borgnine@gmail.com\", role=c(\"aut\",\"cre\",\"cph\"))",
  "Maintainer": "Patrick Brown <patrick.borgnine@gmail.com>",
  "Description": "Computes Laplace approximations for hierarchical models\nusing automatic differentiation (CppAD) and trust-region\noptimization.",
  "License": "MPL-2.0",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "Encoding": "UTF-8",
  "SystemRequirements": "OpenMP",
  "RoxygenNote": "7.3.3",
  "NeedsCompilation": "yes",
  "Collate": "'RcppExports.R' 'classes.R' 'ad_data.R' 'ad_fun.R'\n'ad_fun_ptr.R' 'ad_shards.R' 'data_setup.R' 'effects.R'\n'families.R' 'model_data.R' 'log_lik.R' 'fit.R' 'sim_fit.R'\n'fit_methods.R' 'fixed_terms.R' 'format_parameters.R'\n'germany-data.R' 'hessian_map.R' 'iid.R' 'rpoly.R' 'iwp.R'\n'mvn_utils.R' 'prepare_model_rows.R' 'zzz.R'",
  "LazyData": "true",
  "Repository": "https://eborgnine.r-universe.dev",
  "Date/Publication": "2026-07-17 22:33:33 UTC",
  "RemoteUrl": "https://github.com/eborgnine/adlaplace",
  "RemoteRef": "main",
  "RemoteSha": "96d35f802cd1c076c717dc2284fafebab64dad52",
  "RemoteSubdir": "adlaplace",
  "Packaged": {
    "Date": "2026-07-17 23:38:34 UTC",
    "User": "root"
  },
  "Author": "Patrick Brown [aut, cre, cph]",
  "_user": "eborgnine",
  "_type": "src",
  "_file": "adlaplace_0.5.2.tar.gz",
  "_fileid": "https://r2.ropensci.org/997bec67df30cfd4b575497b38c15568091cea37eb181e57de0fd757714444bb",
  "_filesize": 1643397,
  "_sha256": "997bec67df30cfd4b575497b38c15568091cea37eb181e57de0fd757714444bb",
  "_expires": "2026-10-25T23:46:13.000Z",
  "_created": "2026-07-17T23:38:34.000Z",
  "_published": "2026-07-17T23:46:15.894Z",
  "_jobs": [
    {
      "job": 88016653959,
      "time": 217,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "8422320335"
    },
    {
      "job": 88016653968,
      "time": 274,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "8422332154"
    },
    {
      "job": 88016653960,
      "time": 211,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "8422319206"
    },
    {
      "job": 88016653942,
      "time": 231,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "8422322923"
    },
    {
      "job": 88016653964,
      "time": 129,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "8422299594"
    },
    {
      "job": 88016653944,
      "time": 277,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "8422333055"
    },
    {
      "job": 88016653956,
      "time": 120,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "8422297933"
    },
    {
      "job": 88016654023,
      "time": 346,
      "config": "macos-release-x86_64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "8422348861"
    },
    {
      "job": 88015838043,
      "time": 407,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8422270545"
    },
    {
      "job": 88016653897,
      "time": 169,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "8422308641"
    },
    {
      "job": 88016653924,
      "time": 276,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "8422333027"
    },
    {
      "job": 88016653929,
      "time": 251,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "8422330020"
    },
    {
      "job": 88016653912,
      "time": 259,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "8422328886"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842",
  "_status": "success",
  "_upstream": "https://github.com/eborgnine/adlaplace",
  "_commit": {
    "id": "96d35f802cd1c076c717dc2284fafebab64dad52",
    "author": "eborgnine <patrick.borgnine@gmail.com>",
    "committer": "eborgnine <patrick.borgnine@gmail.com>",
    "message": "mac\n",
    "time": 1784327613
  },
  "_maintainer": {
    "name": "Patrick Brown",
    "email": "patrick.borgnine@gmail.com",
    "login": "eborgnine",
    "description": "Patrick Brown",
    "uuid": 5818919
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppEigen",
      "role": "LinkingTo"
    },
    {
      "package": "trustOptim",
      "role": "LinkingTo"
    },
    {
      "package": "Matrix",
      "role": "LinkingTo"
    },
    {
      "package": "RCppAD",
      "role": "LinkingTo"
    },
    {
      "package": "Matrix",
      "version": ">= 1.2.18",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.3",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "RCppAD",
      "role": "Imports"
    },
    {
      "package": "numDeriv",
      "role": "Suggests"
    },
    {
      "package": "abind",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "trustOptim",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "mvQuad",
      "role": "Suggests"
    },
    {
      "package": "mgcv",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "nlme",
      "role": "Suggests"
    },
    {
      "package": "sn",
      "role": "Suggests"
    },
    {
      "package": "terra",
      "role": "Suggests"
    },
    {
      "package": "RSpectra",
      "role": "Enhances"
    }
  ],
  "_owner": "eborgnine",
  "_selfowned": true,
  "_usedby": 4,
  "_updates": [
    {
      "week": "2025-29",
      "n": 2
    },
    {
      "week": "2025-37",
      "n": 1
    },
    {
      "week": "2025-38",
      "n": 11
    },
    {
      "week": "2025-39",
      "n": 2
    },
    {
      "week": "2025-40",
      "n": 7
    },
    {
      "week": "2025-41",
      "n": 9
    },
    {
      "week": "2025-42",
      "n": 13
    },
    {
      "week": "2025-43",
      "n": 4
    },
    {
      "week": "2025-44",
      "n": 18
    },
    {
      "week": "2025-45",
      "n": 59
    },
    {
      "week": "2025-46",
      "n": 11
    },
    {
      "week": "2025-47",
      "n": 22
    },
    {
      "week": "2025-48",
      "n": 8
    },
    {
      "week": "2025-49",
      "n": 11
    },
    {
      "week": "2025-50",
      "n": 12
    },
    {
      "week": "2026-04",
      "n": 15
    },
    {
      "week": "2026-05",
      "n": 2
    },
    {
      "week": "2026-06",
      "n": 6
    },
    {
      "week": "2026-07",
      "n": 16
    },
    {
      "week": "2026-08",
      "n": 11
    },
    {
      "week": "2026-09",
      "n": 1
    },
    {
      "week": "2026-10",
      "n": 4
    },
    {
      "week": "2026-11",
      "n": 31
    },
    {
      "week": "2026-12",
      "n": 5
    },
    {
      "week": "2026-13",
      "n": 17
    },
    {
      "week": "2026-14",
      "n": 19
    },
    {
      "week": "2026-15",
      "n": 7
    },
    {
      "week": "2026-16",
      "n": 2
    },
    {
      "week": "2026-17",
      "n": 12
    },
    {
      "week": "2026-18",
      "n": 99
    },
    {
      "week": "2026-19",
      "n": 4
    },
    {
      "week": "2026-21",
      "n": 11
    },
    {
      "week": "2026-22",
      "n": 4
    },
    {
      "week": "2026-23",
      "n": 3
    },
    {
      "week": "2026-24",
      "n": 24
    },
    {
      "week": "2026-25",
      "n": 2
    },
    {
      "week": "2026-26",
      "n": 3
    },
    {
      "week": "2026-27",
      "n": 2
    },
    {
      "week": "2026-28",
      "n": 6
    },
    {
      "week": "2026-29",
      "n": 63
    }
  ],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "eborgnine",
      "count": 784,
      "uuid": 5818919
    },
    {
      "user": "samperochkin",
      "count": 33,
      "uuid": 25728471
    }
  ],
  "_userbio": {
    "uuid": 5818919,
    "type": "user",
    "name": "eborgnine",
    "followers": 7,
    "description": "Patrick Brown"
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/adlaplace"
  },
  "_devurl": "https://github.com/eborgnine/adlaplace",
  "_searchresults": 0,
  "_topics": [
    "cpp",
    "openmp"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/adlaplace.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_cranurl": false,
  "_exports": [
    ".type_factor_levels",
    "ad_data",
    "ad_fun",
    "ad_fun_ptr",
    "ad_shards",
    "adlaplace",
    "apply_theta_log",
    "beta_info",
    "binomial",
    "by_group",
    "clone_ad_fun_ptr",
    "collect_terms",
    "data_setup",
    "design",
    "elgm_matrix",
    "extra_ad_fun",
    "format_parameters",
    "fpoly",
    "fun_obj_fdfh",
    "gaussian",
    "grad",
    "has_openmp",
    "hessian",
    "iid",
    "inner_opt",
    "intercept",
    "iwp",
    "joint_log_dens",
    "laplace_half_H_inv",
    "linear",
    "log_lik_laplace",
    "mean_mvquad",
    "model_data",
    "nbinom",
    "outer_fn",
    "outer_gr",
    "precision",
    "random_info",
    "ref_align",
    "rmvnldl",
    "rpoly",
    "sim_fit",
    "sizes",
    "theta_info",
    "trace_hinv_t"
  ],
  "_datasets": [
    {
      "name": "dat",
      "title": "Example GAMM simulation data",
      "object": "gamm",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "x0",
        "x1",
        "x2",
        "x3",
        "f",
        "f0",
        "f1",
        "f2",
        "f3",
        "fac",
        "mu",
        "Z"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "germany",
      "title": "Germany oral cavity cancer (Besag-York-Mollie example)",
      "object": "germany",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "dot-type_factor_levels",
      "title": "Valid model type factor levels",
      "topics": [
        ".type_factor_levels"
      ]
    },
    {
      "page": "data_setup",
      "title": "Build design matrices and parameter metadata from a formula",
      "topics": [
        "ad_data",
        "data_setup"
      ]
    },
    {
      "page": "ad_data-class",
      "title": "Per-shard layout for AD density evaluation",
      "topics": [
        "ad_data-class"
      ]
    },
    {
      "page": "ad_fun",
      "title": "Build AD function with Hessian templates",
      "topics": [
        "ad_fun",
        "ad_fun,ad_data-method",
        "ad_fun,ad_fun_ptr-method",
        "ad_fun,list-method"
      ]
    },
    {
      "page": "ad_fun_ptr",
      "title": "Build raw AD handle for one density shard",
      "topics": [
        "ad_fun_ptr"
      ]
    },
    {
      "page": "ad_fun_ptr-class",
      "title": "Raw AD handle (external pointer)",
      "topics": [
        "ad_fun_ptr-class"
      ]
    },
    {
      "page": "ad_fun-class",
      "title": "AD function with Hessian templates attached",
      "topics": [
        "ad_fun-class"
      ]
    },
    {
      "page": "ad_shards",
      "title": "Partition observations into AD shards by sparsity pattern",
      "topics": [
        "ad_shards"
      ]
    },
    {
      "page": "adlaplace",
      "title": "Fit a hierarchical model by Laplace-approximate maximum likelihood",
      "topics": [
        "adlaplace"
      ]
    },
    {
      "page": "adlaplace_cpp",
      "title": "C++ backend entry points",
      "topics": [
        "adlaplace_cpp",
        "fun_obj_fdfh",
        "grad",
        "hessian",
        "joint_log_dens",
        "trace_hinv_t"
      ]
    },
    {
      "page": "adlaplace_fit-methods",
      "title": "Methods for fitted adlaplace models",
      "topics": [
        "adlaplace_fit-methods",
        "coef.adlaplace_fit",
        "confint.adlaplace_fit",
        "fitted.adlaplace_fit",
        "logLik.adlaplace_fit",
        "nobs.adlaplace_fit",
        "plot.adlaplace_fit",
        "predict.adlaplace_fit",
        "print.adlaplace_fit",
        "print.summary.adlaplace_fit",
        "summary.adlaplace_fit",
        "vcov.adlaplace_fit"
      ]
    },
    {
      "page": "apply_theta_log",
      "title": "Apply log transform to selected theta columns",
      "topics": [
        "apply_theta_log"
      ]
    },
    {
      "page": "binomial-class",
      "title": "Binomial observation term",
      "topics": [
        "binomial",
        "binomial-class"
      ]
    },
    {
      "page": "by_group",
      "title": "By-Group Classes and Functions",
      "topics": [
        "by_group"
      ]
    },
    {
      "page": "by_group-class",
      "title": "By-Group Class",
      "topics": [
        "by_group-class"
      ]
    },
    {
      "page": "c.ad_fun_ptr",
      "title": "Combine 'ad_fun_ptr' handles",
      "topics": [
        "c.ad_fun_ptr"
      ]
    },
    {
      "page": "clone_ad_fun_ptr",
      "title": "Deep copy of an 'ad_fun_ptr' handle",
      "topics": [
        "clone_ad_fun_ptr"
      ]
    },
    {
      "page": "collect_terms",
      "title": "Parse Model Terms from Formula",
      "topics": [
        "collect_terms"
      ]
    },
    {
      "page": "format_parameters",
      "title": "Format Laplace estimates using parameter metadata",
      "topics": [
        "format_parameters"
      ]
    },
    {
      "page": "fpoly-class",
      "title": "Fixed Polynomial Model Term",
      "topics": [
        "beta_info,fpoly-method",
        "design,fpoly-method",
        "fpoly",
        "fpoly-class"
      ]
    },
    {
      "page": "gamm",
      "title": "Example GAMM simulation data",
      "topics": [
        "dat",
        "gamm"
      ]
    },
    {
      "page": "gaussian-class",
      "title": "Gaussian observation term",
      "topics": [
        "gaussian",
        "gaussian-class",
        "theta_info,gaussian-method"
      ]
    },
    {
      "page": "germany",
      "title": "Germany oral cavity cancer (Besag-York-Mollie example)",
      "topics": [
        "germany"
      ]
    },
    {
      "page": "has_openmp",
      "title": "Whether this build was compiled with OpenMP support.",
      "topics": [
        "has_openmp"
      ]
    },
    {
      "page": "iid-class",
      "title": "IID Random Effects Term",
      "topics": [
        "design,iid-method",
        "iid",
        "iid-class",
        "precision,iid-method",
        "random_info,iid-method",
        "theta_info,iid-method"
      ]
    },
    {
      "page": "inner_opt",
      "title": "Inner optimization over gamma using trust-region CG (sparse)",
      "topics": [
        "inner_opt"
      ]
    },
    {
      "page": "intercept-class",
      "title": "intercept Model Term",
      "topics": [
        "beta_info,intercept-method",
        "design,intercept-method",
        "intercept",
        "intercept-class"
      ]
    },
    {
      "page": "iwp",
      "title": "Integrated Wiener Process Term Constructor",
      "topics": [
        "iwp"
      ]
    },
    {
      "page": "iwp-class",
      "title": "Integrated Wiener Process Term",
      "topics": [
        "design,iwp-method",
        "iwp-class",
        "precision,iwp-method",
        "random_info,iwp-method",
        "theta_info,iwp-method"
      ]
    },
    {
      "page": "laplace_half_H_inv",
      "title": "Extract inner inverse Cholesky factor from Laplace output",
      "topics": [
        "laplace_half_H_inv"
      ]
    },
    {
      "page": "linear-class",
      "title": "Linear Model Term",
      "topics": [
        "beta_info,linear-method",
        "design,linear-method",
        "linear",
        "linear-class"
      ]
    },
    {
      "page": "log_lik_laplace",
      "title": "Log-likelihood with inner Laplace optimization",
      "topics": [
        "log_lik_laplace"
      ]
    },
    {
      "page": "mean_mvquad",
      "title": "Posterior mean of random effects via multivariate quadrature",
      "topics": [
        "mean_mvquad"
      ]
    },
    {
      "page": "model_data",
      "title": "Assemble model terms and per-shard 'ad_data' objects",
      "topics": [
        "model_data"
      ]
    },
    {
      "page": "model-class",
      "title": "Base Model Class",
      "topics": [
        "model-class"
      ]
    },
    {
      "page": "model-generics",
      "title": "Model Term Generics",
      "topics": [
        "beta_info",
        "beta_info,model-method",
        "design",
        "design,model-method",
        "elgm_matrix",
        "extra_ad_fun",
        "extra_ad_fun,model-method",
        "model-generics",
        "precision",
        "precision,model-method",
        "random_info",
        "random_info,model-method",
        "theta_info",
        "theta_info,model-method"
      ]
    },
    {
      "page": "nbinom-class",
      "title": "Negative binomial observation term",
      "topics": [
        "nbinom",
        "nbinom-class",
        "theta_info,nbinom-method"
      ]
    },
    {
      "page": "outer_optim_wrappers",
      "title": "Outer objective and gradient wrappers",
      "topics": [
        "outer_fn",
        "outer_gr",
        "outer_optim_wrappers"
      ]
    },
    {
      "page": "rmvnldl",
      "title": "Simulate from a multivariate normal using LDL of the precision matrix",
      "topics": [
        "rmvnldl"
      ]
    },
    {
      "page": "rpoly-class",
      "title": "Random Polynomial Model Term",
      "topics": [
        "design,rpoly-method",
        "precision,rpoly-method",
        "random_info,rpoly-method",
        "rpoly",
        "rpoly-class"
      ]
    },
    {
      "page": "sim_fit",
      "title": "Simulate linear predictors on a new covariate grid",
      "topics": [
        "sim_fit"
      ]
    },
    {
      "page": "sizes",
      "title": "Parameter-block row counts for an 'ad_data'",
      "topics": [
        "sizes",
        "sizes,ad_data-method"
      ]
    }
  ],
  "_readme": "https://github.com/eborgnine/adlaplace/raw/main/README.md",
  "_rundeps": [
    "data.table",
    "lattice",
    "Matrix",
    "Rcpp",
    "RCppAD",
    "RcppEigen",
    "trustOptim"
  ],
  "_sysdeps": [
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    },
    {
      "shlib": "libgomp",
      "package": "libgomp1",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "openmp",
      "homepage": "http://gcc.gnu.org/",
      "description": "GCC OpenMP (GOMP) support library"
    }
  ],
  "_vignettes": [
    {
      "source": "germany.Rmd",
      "filename": "germany.html",
      "title": "BYM disease mapping: Germany oral cavity cancer",
      "author": "Patrick Brown",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Data",
        "Building AD shards",
        "Combining shards",
        "Joint log density derivatives",
        "Inner optimization",
        "Joint density derivative checks",
        "Profile likelihood",
        "Outer optimization",
        "Spatial effects"
      ],
      "created": "2026-07-17 14:29:04",
      "modified": "2026-07-17 22:33:33",
      "commits": 3
    },
    {
      "source": "gamm.Rmd",
      "filename": "gamm.html",
      "title": "GAMM Examples",
      "author": "Patrick Brown",
      "engine": "knitr::rmarkdown",
      "headings": [
        "check by shard",
        "Profile derivative checks",
        "Joint density derivative checks"
      ],
      "created": "2026-07-17 14:29:04",
      "modified": "2026-07-17 22:33:33",
      "commits": 4
    },
    {
      "source": "adlaplace.Rmd",
      "filename": "adlaplace.html",
      "title": "Laplace Approximations with adlaplace",
      "author": "Patrick Brown",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Model",
        "Simulated data",
        "Building AD shards",
        "Observations and hyperparameters",
        "Random effects",
        "Observation likelihood check",
        "Combining shards",
        "Joint log density derivatives",
        "Inner optimization",
        "likelihood",
        "Outer optimization",
        "Derivative checks",
        "Joint density derivative checks",
        "nicer interface",
        "mean estimation"
      ],
      "created": "2025-11-26 14:21:30",
      "modified": "2026-07-17 22:33:33",
      "commits": 43
    }
  ],
  "_score": 5.857332496431269,
  "_indexed": true,
  "_nocasepkg": "adlaplace",
  "_universes": [
    "eborgnine"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.5.2",
      "date": "2026-07-17T23:42:11.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/cbd410fe5459edbcffbd5cc44bee8bd51768e0c13c3c950d90354a7b05c91352",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.5.2",
      "date": "2026-07-17T23:42:47.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/de54a2b9e4af76b8fcd7802d85d386a0935d168c966134278fc6baa81202a855",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.5.2",
      "date": "2026-07-17T23:42:09.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/aba0bd591af44cccab98db14d867a250fe0f45004ce308ea597aa9b067e6feb7",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.5.2",
      "date": "2026-07-17T23:42:08.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/a29e29101954e7de86485ff1b00266fd5a3a9055d93433950b3a4d0bbb083234",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.5.2",
      "date": "2026-07-17T23:41:08.000Z",
      "arch": "aarch64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/4a2e0f806d9a8c0389177be4879b577572aafb1ae7bd73fb284cf766496b33c4",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.5.2",
      "date": "2026-07-17T23:42:36.000Z",
      "arch": "x86_64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/9e3ae53bf6c14dfe91bd6f2b29b255dc80844055f9399794eec5bbea265dfd21",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.5.2",
      "date": "2026-07-17T23:41:03.000Z",
      "arch": "aarch64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/66ec0570de2f28a48db47a4ccfd128deef03b5d672b0b218cc3f1ba610fd5629",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.5.2",
      "date": "2026-07-17T23:43:09.000Z",
      "arch": "x86_64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/cd221e22b77708472b15a39cd17aa0c96429c7b524d9712072b2a191d9f927a0",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.5.2",
      "date": "2026-07-17T23:42:16.000Z",
      "arch": "emscripten",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/6eadeea2db3e0637cbd3367bec68bae751c272f5cf8b93c290300551cbd79570",
      "status": "success",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.5.2",
      "date": "2026-07-17T23:41:51.000Z",
      "arch": "x86_64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/ee9016dcf4ae44059b0ee020ade495c2f3b6012f69c759c959fe82c05a492fc5",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.5.2",
      "date": "2026-07-17T23:41:52.000Z",
      "arch": "x86_64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/fb26094e1026d3917dabec06d35e740b4eab15adb6dfbedac7a8dffb77ecd75c",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.5.2",
      "date": "2026-07-17T23:41:19.000Z",
      "arch": "x86_64",
      "commit": "96d35f802cd1c076c717dc2284fafebab64dad52",
      "fileid": "https://r2.ropensci.org/bcac0fb0fcdef2f170c3802a5bad4c6da23b3f08a7960a40d53419ed889875f0",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/eborgnine/actions/runs/29620970842"
    }
  ]
}