{
  "_id": "6a59cf1609eb0996dd68e25e",
  "Package": "nQuack",
  "Title": "Predicting Ploidal Level from Sequence Data",
  "Description": "Predicts ploidal level from sequence data using site-based\nheterozygosity and a mixture models approach. See Gaynor et al.\n(2024) <doi:10.1002/aps3.11606>.",
  "Version": "1.0.4",
  "Authors@R": "c(\nperson(given = \"Michelle L.\", family = \"Gaynor\",  email= \"shellyleegaynor@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-3912-6079\")))",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "SystemRequirements": "C++17 samtools (>= 1.10)",
  "LazyData": "true",
  "License": "GPL (>= 2)",
  "VignetteBuilder": "knitr",
  "Maintainer": "Michelle L. Gaynor <shellyleegaynor@gmail.com>",
  "URL": "http://mlgaynor.com/nQuack/, https://github.com/mgaynor1/nQuack/",
  "BugReports": "https://github.com/mgaynor1/nQuack/issues",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "libssl-dev",
  "Repository": "https://mgaynor1.r-universe.dev",
  "Date/Publication": "2026-07-16 13:09:21 UTC",
  "RemoteUrl": "https://github.com/mgaynor1/nquack",
  "RemoteRef": "HEAD",
  "RemoteSha": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-07-17 06:32:27 UTC",
    "User": "root"
  },
  "Author": "Michelle L. Gaynor [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-3912-6079>)",
  "_user": "mgaynor1",
  "_type": "src",
  "_file": "nQuack_1.0.4.tar.gz",
  "_fileid": "https://r2.ropensci.org/8c37a2889ee91a341b86c2e1dc5d3df84e02ab27377a40818ea302badec7b2ae",
  "_filesize": 2916313,
  "_sha256": "8c37a2889ee91a341b86c2e1dc5d3df84e02ab27377a40818ea302badec7b2ae",
  "_expires": "2026-10-25T06:43:32.000Z",
  "_created": "2026-07-17T06:32:27.000Z",
  "_published": "2026-07-17T06:43:34.953Z",
  "_jobs": [
    {
      "job": 87821420725,
      "time": 223,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8399077673"
    },
    {
      "job": 87821420723,
      "time": 218,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8399074775"
    },
    {
      "job": 87821420750,
      "time": 212,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8399073776"
    },
    {
      "job": 87821420692,
      "time": 217,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8399074456"
    },
    {
      "job": 87821420765,
      "time": 200,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8399059652"
    },
    {
      "job": 87821420702,
      "time": 319,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8399100264"
    },
    {
      "job": 87821420666,
      "time": 218,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8399065278"
    },
    {
      "job": 87821420672,
      "time": 563,
      "config": "macos-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8399165390"
    },
    {
      "job": 87820549841,
      "time": 351,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8399008527"
    },
    {
      "job": 87821420653,
      "time": 189,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "8399066160"
    },
    {
      "job": 87821420694,
      "time": 239,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8399081137"
    },
    {
      "job": 87821420682,
      "time": 244,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8399083113"
    },
    {
      "job": 87821420736,
      "time": 206,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8399071125"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404",
  "_status": "success",
  "_upstream": "https://github.com/mgaynor1/nquack",
  "_commit": {
    "id": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
    "author": "Shelly Gaynor <michellegaynor@ufl.edu>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Add CRAN section and update project overview\n\nAdded CRAN section to README and updated content.",
    "time": 1784207361
  },
  "_maintainer": {
    "name": "Michelle L. Gaynor",
    "email": "shellyleegaynor@gmail.com",
    "login": "mgaynor1",
    "bluesky": "@shellygaynor.bsky.social",
    "orcid": "0000-0002-3912-6079",
    "description": "Current NSF Postdoctoral Fellow in Biology. Incoming Assistant Professor at Florida State University. ",
    "uuid": 29489651
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "extraDistr",
      "role": "LinkingTo"
    },
    {
      "package": "RcppProgress",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.11",
      "role": "Imports"
    },
    {
      "package": "RcppArmadillo",
      "version": ">= 14.0.2-1",
      "role": "Imports"
    },
    {
      "package": "truncdist",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "foreach",
      "role": "Imports"
    },
    {
      "package": "future",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "doParallel",
      "role": "Imports"
    },
    {
      "package": "extraDistr",
      "role": "Imports"
    },
    {
      "package": "RcppProgress",
      "role": "Imports"
    },
    {
      "package": "httr2",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "role": "Suggests"
    },
    {
      "package": "kableExtra",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "mgaynor1",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-30",
      "n": 1
    },
    {
      "week": "2025-33",
      "n": 1
    },
    {
      "week": "2025-35",
      "n": 1
    },
    {
      "week": "2025-42",
      "n": 5
    },
    {
      "week": "2025-49",
      "n": 3
    },
    {
      "week": "2026-22",
      "n": 1
    },
    {
      "week": "2026-26",
      "n": 6
    },
    {
      "week": "2026-27",
      "n": 2
    },
    {
      "week": "2026-28",
      "n": 2
    },
    {
      "week": "2026-29",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "CRAN",
      "date": "2026-07-16"
    }
  ],
  "_topics": [
    "expectation-maximization",
    "ploidy-inference",
    "ploidy-level",
    "polyploidy",
    "r-based",
    "rcpp",
    "rcpparmadillo",
    "openblas",
    "cpp",
    "openmp"
  ],
  "_stars": 19,
  "_contributors": [
    {
      "user": "mgaynor1",
      "count": 15,
      "uuid": 29489651
    }
  ],
  "_userbio": {
    "uuid": 29489651,
    "type": "user",
    "name": "Shelly Gaynor",
    "followers": 79,
    "description": "Current NSF Postdoctoral Fellow in Biology. Incoming Assistant Professor at Florida State University. "
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/nQuack"
  },
  "_devurl": "https://github.com/mgaynor1/nquack",
  "_pkgdown": "http://mlgaynor.com/nQuack/",
  "_searchresults": 20,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/nQuack.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/mgaynor1/nquack",
  "_realowner": "mgaynor1",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.4",
      "date": "2026-07-16"
    }
  ],
  "_exports": [
    "alphabetacalc",
    "alphabetacalctau",
    "alphabetacalctauvec",
    "alphabetacalcvec",
    "Bclean",
    "bestquack",
    "denoise_data",
    "emstepB",
    "emstepB3",
    "emstepBB",
    "emstepBBU",
    "emstepBU",
    "emstepN",
    "emstepNA",
    "emstepNU",
    "emstepNUA",
    "estepB3",
    "muvarcalcvec",
    "nQuire_reformat",
    "prepare_data",
    "process_data",
    "process_nquire",
    "process_rcpp",
    "quackBeta",
    "quackBetaBinom",
    "quackit",
    "quackNboots",
    "quackNormal",
    "quackNormalNQ",
    "resample_xm",
    "setconvert",
    "SetupBasicExample",
    "sim.ind.BB",
    "sim.ind.BB.tau",
    "sim.ind.simple"
  ],
  "_datasets": [
    {
      "name": "xm",
      "title": "Simulated data for examples xm <- sim.ind.simple(mvec = c(0.5))",
      "object": "xm",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2"
      ],
      "rows": 50000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "alphabetacalc",
      "title": "Calculate Alpha and Beta from Mean and Variance",
      "topics": [
        "alphabetacalc"
      ]
    },
    {
      "page": "alphabetacalctau",
      "title": "Calculate Alpha and Beta from Mean, Tau, and Error rate.",
      "topics": [
        "alphabetacalctau"
      ]
    },
    {
      "page": "alphabetacalctauvec",
      "title": "Vector-based - Calculate Alpha and Beta from Mean, Tau, and Error rate.",
      "topics": [
        "alphabetacalctauvec"
      ]
    },
    {
      "page": "alphabetacalcvec",
      "title": "Vector-based - Calculate Alpha and Beta from Mean and Variance",
      "topics": [
        "alphabetacalcvec"
      ]
    },
    {
      "page": "Bclean",
      "title": "Remove Noise with the Beta Distribution",
      "topics": [
        "Bclean"
      ]
    },
    {
      "page": "bestquack",
      "title": "Model Selection - Expectation Maximization - Optimal Distribution and Type",
      "topics": [
        "bestquack"
      ]
    },
    {
      "page": "denoise_data",
      "title": "Denoise Data",
      "topics": [
        "denoise_data"
      ]
    },
    {
      "page": "emstepB",
      "title": "Expectation maximization - Beta Distribution",
      "topics": [
        "emstepB"
      ]
    },
    {
      "page": "emstepB3",
      "title": "Expectation maximization - Beta + Beta + Beta Distribution",
      "topics": [
        "emstepB3"
      ]
    },
    {
      "page": "emstepBB",
      "title": "Expectation maximization - Beta-Binomial Distribution",
      "topics": [
        "emstepBB"
      ]
    },
    {
      "page": "emstepBBU",
      "title": "Expectation maximization - Beta-Binomial and Uniform Distributions",
      "topics": [
        "emstepBBU"
      ]
    },
    {
      "page": "emstepBU",
      "title": "Expectation maximization - Beta and Uniform Distributions",
      "topics": [
        "emstepBU"
      ]
    },
    {
      "page": "emstepN",
      "title": "Expectation maximization - Normal Distribution",
      "topics": [
        "emstepN"
      ]
    },
    {
      "page": "emstepNA",
      "title": "Expectation maximization - Normal Distribution",
      "topics": [
        "emstepNA"
      ]
    },
    {
      "page": "emstepNU",
      "title": "Expectation maximization - Normal and Uniform Distribution",
      "topics": [
        "emstepNU"
      ]
    },
    {
      "page": "emstepNUA",
      "title": "Expectation maximization - Normal Distribution",
      "topics": [
        "emstepNUA"
      ]
    },
    {
      "page": "estepB3",
      "title": "E-Step for Expectation Maximization - Beta + Beta + Beta Distribution",
      "topics": [
        "estepB3"
      ]
    },
    {
      "page": "muvarcalcvec",
      "title": "Variance calculation from Mean, Tau, and Sequencing Error",
      "topics": [
        "muvarcalcvec"
      ]
    },
    {
      "page": "nQuire_reformat",
      "title": "Data Preparation - Use nQuire's Data",
      "topics": [
        "nQuire_reformat"
      ]
    },
    {
      "page": "prepare_data",
      "title": "Prepare Data - Step 1",
      "topics": [
        "prepare_data"
      ]
    },
    {
      "page": "process_data",
      "title": "Process Data - Step 2",
      "topics": [
        "process_data"
      ]
    },
    {
      "page": "process_nquire",
      "title": "Use nQuire's Data",
      "topics": [
        "process_nquire"
      ]
    },
    {
      "page": "process_rcpp",
      "title": "Data Preparation - Matrix Filtering",
      "topics": [
        "process_rcpp"
      ]
    },
    {
      "page": "quackBeta",
      "title": "Model Selection - Expectation Maximization - Beta Mixture",
      "topics": [
        "quackBeta"
      ]
    },
    {
      "page": "quackBetaBinom",
      "title": "Model Selection - Expectation Maximization - Beta-Binomial Mixture",
      "topics": [
        "quackBetaBinom"
      ]
    },
    {
      "page": "quackit",
      "title": "Model Selection - Based on BIC or Log-Likelihood",
      "topics": [
        "quackit"
      ]
    },
    {
      "page": "quackNboots",
      "title": "Bootstrapping - Expectation Maximization - Optimal Distribution and Type",
      "topics": [
        "quackNboots"
      ]
    },
    {
      "page": "quackNormal",
      "title": "Model Selection - Expectation Maximization - Normal Mixture",
      "topics": [
        "quackNormal"
      ]
    },
    {
      "page": "quackNormalNQ",
      "title": "Model Selection - Expectation Maximization - Normal Mixture (nQuire)",
      "topics": [
        "quackNormalNQ"
      ]
    },
    {
      "page": "resample_xm",
      "title": "Calculate Alpha and Beta from Mean and Variance",
      "topics": [
        "resample_xm"
      ]
    },
    {
      "page": "setconvert",
      "title": "Calculate Variance from Mean, Tau, and Sequencing Error",
      "topics": [
        "setconvert"
      ]
    },
    {
      "page": "SetupBasicExample",
      "title": "Setup Basic Example",
      "topics": [
        "SetupBasicExample"
      ]
    },
    {
      "page": "sim.ind.BB",
      "title": "Simulate Allele Counts for Single Individual - Beta-Binomial Distribution",
      "topics": [
        "sim.ind.BB"
      ]
    },
    {
      "page": "sim.ind.BB.tau",
      "title": "Simulate Allele Counts for Single Individual - Beta-Binomial Distribution with Overdispersion and Error",
      "topics": [
        "sim.ind.BB.tau"
      ]
    },
    {
      "page": "sim.ind.simple",
      "title": "Simulate Allele Counts for Single Individual - Simple Approach",
      "topics": [
        "sim.ind.simple"
      ]
    }
  ],
  "_readme": "https://github.com/mgaynor1/nquack/raw/HEAD/README.md",
  "_rundeps": [
    "askpass",
    "cli",
    "codetools",
    "curl",
    "data.table",
    "digest",
    "doParallel",
    "evd",
    "extraDistr",
    "foreach",
    "future",
    "globals",
    "glue",
    "httr2",
    "iterators",
    "lifecycle",
    "listenv",
    "magrittr",
    "openssl",
    "parallelly",
    "R6",
    "Rcpp",
    "RcppArmadillo",
    "RcppProgress",
    "rlang",
    "sys",
    "truncdist",
    "vctrs",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "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": "BasicExample.Rmd",
      "filename": "BasicExample.html",
      "title": "Basic Example",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Download All Data Files",
        "Data description",
        "Load packages",
        "Data preparation",
        "01. Prepare  data",
        "02. Process data.",
        "Model inference",
        "Explore all models",
        "Model interpretation",
        "Running only the best model",
        "Bootstrap replicates"
      ],
      "created": "2024-01-31 22:28:39",
      "modified": "2026-06-30 22:51:37",
      "commits": 8
    },
    {
      "source": "DataPreparation.Rmd",
      "filename": "DataPreparation.html",
      "title": "Data Preparation",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Preprocessing",
        "Option 1: Reference genome",
        "Align to a reference genome",
        "Remove repeats",
        "Identify repeat regions",
        "Remove repeats from your alignment",
        "Filter low quality",
        "Option 2: Target-based",
        "Data processing with nQuack",
        "Step 1: Prepare.",
        "Warning: samtools must be local!",
        "Step 2: Process",
        "When should you filter your data?",
        "Coverage filters.",
        "Allele Frequency",
        "Comparing nQuack to nQuire",
        "What about 'denoising'?",
        "Alternative approach - Bclean",
        "Bclean and Denoise"
      ],
      "created": "2024-01-31 22:28:39",
      "modified": "2026-06-30 22:51:37",
      "commits": 7
    },
    {
      "source": "FAQ.Rmd",
      "filename": "FAQ.html",
      "title": "FAQ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Can it go faster?",
        "Should I subsample my data?",
        "What about higher ploidal levels?",
        "Can I identify if my sample is an allopolyploid or autopolyploid?",
        "What about RNA-seq? HI-C? or PacBio HIFI?"
      ],
      "created": "2025-10-14 14:09:10",
      "modified": "2026-06-30 22:51:37",
      "commits": 4
    },
    {
      "source": "FasterExample.Rmd",
      "filename": "FasterExample.html",
      "title": "Faster Example",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Part 1: Data preparation",
        "Load packages",
        "Set up parallel",
        "01. Prepare  data",
        "02. Process data.",
        "Stop cluster",
        "Part 2: Model inference",
        "SLURM Example",
        "02_Model.R",
        "What if I am not using SLURM?",
        "Wait, this is still slow!",
        "02_Model_withTimers.R"
      ],
      "created": "2025-10-13 13:48:53",
      "modified": "2025-10-14 13:34:42",
      "commits": 2
    },
    {
      "source": "ModelOptions.Rmd",
      "filename": "ModelOptions.html",
      "title": "Model Options",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Site-based heterozygosity",
        "nQuack",
        "Model types",
        "Additional arguments.",
        "Mixture model implementation.",
        "Implementation",
        "Interpretation"
      ],
      "created": "2024-01-31 22:28:39",
      "modified": "2024-05-02 19:30:08",
      "commits": 5
    },
    {
      "source": "Outliers.Rmd",
      "filename": "Outliers.html",
      "title": "Outliers",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Simulate Data",
        "Comparing the Log-Likelihood",
        "TLDR"
      ],
      "created": "2024-01-31 22:28:39",
      "modified": "2024-02-17 23:10:12",
      "commits": 2
    },
    {
      "source": "Qploidy2nQuack.Rmd",
      "filename": "Qploidy2nQuack.html",
      "title": "Qploidy2 to nQuack",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction to Qploidy2",
        "Using data from Qploidy2 with nQuack",
        "Predicting individual's ploidal level",
        "Step 1: Modifying input from Qploidy2 to nQuack",
        "Step 2: Model inference",
        "Identify the most accurate model"
      ],
      "created": "2026-05-26 15:49:02",
      "modified": "2026-06-30 22:51:37",
      "commits": 2
    },
    {
      "source": "SimulateData.Rmd",
      "filename": "SimulateData.html",
      "title": "Simulate Data",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Simple or Idealisitic",
        "Advanced or Realistic"
      ],
      "created": "2024-01-31 22:28:39",
      "modified": "2024-02-17 23:37:00",
      "commits": 3
    },
    {
      "source": "VCF2nQuack.Rmd",
      "filename": "VCF2nQuack.html",
      "title": "VCF to nQuack",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Load Packages",
        "Read in your VCF file",
        "Subset information from the Genotypes",
        "01. Subset total read depth",
        "02. Subset reference read depth and alternative read depth",
        "02A. Subset reference read depth",
        "02B. Subset alternative read depth",
        "03. Process for nQuack"
      ],
      "created": "2025-12-02 14:29:40",
      "modified": "2025-12-02 14:29:40",
      "commits": 1
    }
  ],
  "_score": 7.232996110392154,
  "_indexed": true,
  "_nocasepkg": "nquack",
  "_universes": [
    "mgaynor1"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-07-17T06:36:22.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/3f14d53c706a3c826bc9d8051477758655fd27b1702930fc9e8ad3688494f523",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-07-17T06:35:59.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/12e45799e3015a2e2f543fba7242d4ba4f0ec2a69c905e1963d2a80aeeb89b08",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-07-17T06:36:09.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/21460a2d40af1f676befa15c229b41f9304f7e02ba1533e72e5a73db5ec7d0d3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-07-17T06:36:00.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/1c41e835760c50fedeed9653fa0a7d2bd78dad6bef1f7bfdd78c659c05bf61f0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-07-17T06:35:44.000Z",
      "arch": "aarch64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/0eb905d75c3fea929ec516e375d56711535bb205cf2bd5d4ddf3b4491f191400",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-07-17T06:36:44.000Z",
      "arch": "x86_64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/9a2ad53a4cd56ab8d3280896e0cef7f121e8252e4026041185ab74aff743ea52",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-07-17T06:35:46.000Z",
      "arch": "aarch64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/514d483fe550697b2102ea7265df270ab9dfeabe14601e008e2a6de7f6fbe5d7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-07-17T06:38:31.000Z",
      "arch": "x86_64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/b38b017c8bac84f95f544afb54c9ad041213bbb6ffb2d87dd68707f07950a2a4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.4",
      "date": "2026-07-17T06:35:55.000Z",
      "arch": "emscripten",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/becf598d85bb05b261f1801e4eeff544cc3adfee247dae888e6e5326444940aa",
      "status": "success",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-07-17T06:34:46.000Z",
      "arch": "x86_64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/f824b000a0d3ab5ff8aa6e62174bb27aeb52cb4ec697857a396add80f5e2de6d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-07-17T06:34:59.000Z",
      "arch": "x86_64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/317db7b39426d0ca79755165754568f70d5073f6559715d112ca36d04de418d3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-07-17T06:35:02.000Z",
      "arch": "x86_64",
      "commit": "9281dd1d462d28c2799aff3b3abbcbbac6f70cb4",
      "fileid": "https://r2.ropensci.org/6609b5d51ff8d0813d0bdf1647002b5128d7edccb501c0be98eebccb37678b0e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mgaynor1/actions/runs/29560097404"
    }
  ]
}