{
  "_id": "6acd7802a14063b82c3ac0b8",
  "Package": "RHPCBenchmark",
  "Title": "Benchmarks for High-Performance Computing Environments",
  "Version": "0.1.0",
  "Author": "James McCombs [aut, cre]",
  "Maintainer": "James McCombs <jmccombs@iu.edu>",
  "Authors@R": "person(\"James\", \"McCombs\", email = \"jmccombs@iu.edu\", role = c(\"aut\", \"cre\"))",
  "Description": "Microbenchmarks for determining the run time performance\nof aspects of the R programming environment and packages\nrelevant to high-performance computation.  The benchmarks are\ndivided into three categories: dense matrix linear algebra\nkernels, sparse matrix linear algebra kernels, and machine\nlearning functionality.",
  "License": "Apache License 2.0 | file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "6.0.1",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-12 23:16:33 UTC",
    "User": "root"
  },
  "Repository": "https://cranhaven.r-universe.dev",
  "Date/Publication": "2026-10-12 09:02:00 UTC",
  "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev",
  "RemoteRef": "package/RHPCBenchmark",
  "RemoteSha": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
  "RemoteSubdir": "RHPCBenchmark",
  "_user": "cranhaven",
  "_type": "src",
  "_file": "RHPCBenchmark_0.1.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/c67949b957a5ae8e0520e7c3466a64f71443ef714644aa01003004d563be9c15",
  "_filesize": 289572,
  "_sha256": "c67949b957a5ae8e0520e7c3466a64f71443ef714644aa01003004d563be9c15",
  "_expires": "2027-01-21T00:14:56.000Z",
  "_created": "2026-10-12T23:16:33.000Z",
  "_published": "2026-10-13T00:14:58.703Z",
  "_buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 115049769973,
      "time": 106,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "11779042525"
    },
    {
      "job": 115049770066,
      "time": 98,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "11778407963"
    },
    {
      "job": 115049770005,
      "time": 96,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "11781166966"
    },
    {
      "job": 115049769870,
      "time": 78,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "11780872823"
    },
    {
      "job": 115048690023,
      "time": 182,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11778099452"
    },
    {
      "job": 115049770055,
      "time": 79,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11778664212"
    },
    {
      "job": 115049770134,
      "time": 81,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "11778669358"
    },
    {
      "job": 115049770086,
      "time": 68,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "11778209780"
    },
    {
      "job": 115049769956,
      "time": 61,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "11778682720"
    }
  ],
  "_upstream": "https://github.com/cranhaven/cranhaven.r-universe.dev",
  "_commit": {
    "id": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
    "author": "GitHub Action <action@github.com>",
    "committer": "GitHub Action <action@github.com>",
    "message": "Add RHPCBenchmark to CRANhaven, because archived on 2026-10-12 09:02:00 +0000\n",
    "time": 1791795720
  },
  "_maintainer": {
    "name": "James McCombs",
    "email": "jmccombs@iu.edu",
    "login": "jrmccombs",
    "description": "Computational scientist and research software engineer performing HPC research, algorithm development, and software development.",
    "uuid": 24800051
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.3.1",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "mvtnorm",
      "role": "Imports"
    },
    {
      "package": "cluster",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "cranhaven",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-42",
      "n": 1
    }
  ],
  "_tags": [],
  "_topics": [
    "archived",
    "packages",
    "r-universe"
  ],
  "_stars": 5,
  "_contributors": [
    {
      "user": "henrikbengtsson",
      "count": 183,
      "uuid": 1616850
    }
  ],
  "_userbio": {
    "uuid": 161993010,
    "type": "organization",
    "name": "cranhaven",
    "followers": 3,
    "description": "CRANhaven - Repository for Recently Archived CRAN Packages"
  },
  "_downloads": {
    "count": 239,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RHPCBenchmark"
  },
  "_devurl": "https://github.com/cranhaven/cranhaven.r-universe.dev",
  "_searchresults": 21,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/readme.html",
    "extra/readme.md",
    "extra/RHPCBenchmark.html",
    "LICENSE"
  ],
  "_realowner": "jrmccombs",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2017-05-23"
    }
  ],
  "_exports": [
    "CholeskyAllocator",
    "CholeskyMicrobenchmark",
    "ClaraClusteringMicrobenchmark",
    "ClusteringAllocator",
    "CrossprodAllocator",
    "CrossprodMicrobenchmark",
    "DeformtransAllocator",
    "DeformtransMicrobenchmark",
    "DeterminantAllocator",
    "DeterminantMicrobenchmark",
    "EigenAllocator",
    "EigenMicrobenchmark",
    "GetClusteringDefaultMicrobenchmarks",
    "GetClusteringExampleMicrobenchmarks",
    "GetDenseMatrixDefaultMicrobenchmarks",
    "GetDenseMatrixExampleMicrobenchmarks",
    "GetSparseCholeskyDefaultMicrobenchmarks",
    "GetSparseCholeskyExampleMicrobenchmarks",
    "GetSparseLuDefaultMicrobenchmarks",
    "GetSparseMatrixVectorDefaultMicrobenchmarks",
    "GetSparseMatrixVectorExampleMicrobenchmarks",
    "GetSparseQrDefaultMicrobenchmarks",
    "LsfitAllocator",
    "LsfitMicrobenchmark",
    "MatmatAllocator",
    "MatmatMicrobenchmark",
    "MatvecAllocator",
    "MatvecMicrobenchmark",
    "PamClusteringMicrobenchmark",
    "QrAllocator",
    "QrMicrobenchmark",
    "RunDenseMatrixBenchmark",
    "RunMachineLearningBenchmark",
    "RunSparseMatrixBenchmark",
    "SolveAllocator",
    "SolveMicrobenchmark",
    "SparseCholeskyAllocator",
    "SparseCholeskyMicrobenchmark",
    "SparseLuAllocator",
    "SparseLuMicrobenchmark",
    "SparseMatrixVectorAllocator",
    "SparseMatrixVectorMicrobenchmark",
    "SparseQrAllocator",
    "SparseQrMicrobenchmark",
    "SvdAllocator",
    "SvdMicrobenchmark",
    "TransposeAllocator",
    "TransposeMicrobenchmark"
  ],
  "_help": [
    {
      "page": "CholeskyAllocator",
      "title": "Allocates and initializes input to the Cholesky factorization dense matrix kernel microbenchmarks",
      "topics": [
        "CholeskyAllocator"
      ]
    },
    {
      "page": "CholeskyMicrobenchmark",
      "title": "Conducts a single performance trial with the Cholesky factorization dense matrix kernel",
      "topics": [
        "CholeskyMicrobenchmark"
      ]
    },
    {
      "page": "ClaraClusteringMicrobenchmark",
      "title": "Conducts a single performance trial with the cluster::clara function",
      "topics": [
        "ClaraClusteringMicrobenchmark"
      ]
    },
    {
      "page": "ClusteringAllocator",
      "title": "Allocates and initializes input to the clustering for machine learning microbenchmarks",
      "topics": [
        "ClusteringAllocator"
      ]
    },
    {
      "page": "ClusteringMicrobenchmark",
      "title": "This class specifies a clustering for machine learning microbenchmark.",
      "topics": [
        "ClusteringMicrobenchmark"
      ]
    },
    {
      "page": "ComputeAverageTime",
      "title": "Computes the average of a vector of performance trial times",
      "topics": [
        "ComputeAverageTime"
      ]
    },
    {
      "page": "ComputeStandardDeviation",
      "title": "Computes the standard deviation of a vector of performance trial times",
      "topics": [
        "ComputeStandardDeviation"
      ]
    },
    {
      "page": "CrossprodAllocator",
      "title": "Allocates and populates input to the matrix cross product dense matrix kernel microbenchmarks",
      "topics": [
        "CrossprodAllocator"
      ]
    },
    {
      "page": "CrossprodMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix cross product dense matrix kernel",
      "topics": [
        "CrossprodMicrobenchmark"
      ]
    },
    {
      "page": "DeformtransAllocator",
      "title": "Allocates and populates input to the matrix deformation and transpose dense matrix kernel microbenchmarks",
      "topics": [
        "DeformtransAllocator"
      ]
    },
    {
      "page": "DeformtransMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix deformation and transpose dense matrix kernel",
      "topics": [
        "DeformtransMicrobenchmark"
      ]
    },
    {
      "page": "DenseMatrixMicrobenchmark",
      "title": "This class specifies a dense matrix microbenchmark.",
      "topics": [
        "DenseMatrixMicrobenchmark"
      ]
    },
    {
      "page": "DeterminantAllocator",
      "title": "Allocates and populates input to the matrix determinant dense matrix kernel microbenchmarks",
      "topics": [
        "DeterminantAllocator"
      ]
    },
    {
      "page": "DeterminantMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix determinant dense matrix kernel",
      "topics": [
        "DeterminantMicrobenchmark"
      ]
    },
    {
      "page": "EigenAllocator",
      "title": "Allocates and populates input to the matrix eigendecomposition kernel microbenchmarks",
      "topics": [
        "EigenAllocator"
      ]
    },
    {
      "page": "EigenMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix eigendecomposition dense matrix kernel",
      "topics": [
        "EigenMicrobenchmark"
      ]
    },
    {
      "page": "GenerateClusterData",
      "title": "Generates clusters from multivariate normal distributions",
      "topics": [
        "GenerateClusterData"
      ]
    },
    {
      "page": "GetClusteringDefaultMicrobenchmarks",
      "title": "Initializes the list of default clustering microbenchmarks",
      "topics": [
        "GetClusteringDefaultMicrobenchmarks"
      ]
    },
    {
      "page": "GetClusteringExampleMicrobenchmarks",
      "title": "Initializes the list of example clustering microbenchmarks",
      "topics": [
        "GetClusteringExampleMicrobenchmarks"
      ]
    },
    {
      "page": "GetConfigurableEnvParameter",
      "title": "Retrieves the value of an environment variable referenced by another environment variable",
      "topics": [
        "GetConfigurableEnvParameter"
      ]
    },
    {
      "page": "GetDenseMatrixDefaultMicrobenchmarks",
      "title": "Initializes the list of default dense matrix microbenchmarks",
      "topics": [
        "GetDenseMatrixDefaultMicrobenchmarks"
      ]
    },
    {
      "page": "GetDenseMatrixExampleMicrobenchmarks",
      "title": "Initializes the list of example dense matrix microbenchmarks",
      "topics": [
        "GetDenseMatrixExampleMicrobenchmarks"
      ]
    },
    {
      "page": "GetNumberOfThreads",
      "title": "Retrieves the number of threads from the environment",
      "topics": [
        "GetNumberOfThreads"
      ]
    },
    {
      "page": "GetSparseCholeskyDefaultMicrobenchmarks",
      "title": "Initializes the list of default sparse Cholesky factorization microbenchmarks",
      "topics": [
        "GetSparseCholeskyDefaultMicrobenchmarks"
      ]
    },
    {
      "page": "GetSparseCholeskyExampleMicrobenchmarks",
      "title": "Initializes the list of example sparse Cholesky factorization microbenchmarks",
      "topics": [
        "GetSparseCholeskyExampleMicrobenchmarks"
      ]
    },
    {
      "page": "GetSparseLuDefaultMicrobenchmarks",
      "title": "Initializes the list of default sparse LU factorization microbenchmarks",
      "topics": [
        "GetSparseLuDefaultMicrobenchmarks"
      ]
    },
    {
      "page": "GetSparseMatrixVectorDefaultMicrobenchmarks",
      "title": "Initializes the list of default sparse matrix-vector microbenchmarks",
      "topics": [
        "GetSparseMatrixVectorDefaultMicrobenchmarks"
      ]
    },
    {
      "page": "GetSparseMatrixVectorExampleMicrobenchmarks",
      "title": "Initializes the list of example sparse matrix-vector microbenchmarks",
      "topics": [
        "GetSparseMatrixVectorExampleMicrobenchmarks"
      ]
    },
    {
      "page": "GetSparseQrDefaultMicrobenchmarks",
      "title": "Initializes the list of default sparse QR factorization microbenchmarks",
      "topics": [
        "GetSparseQrDefaultMicrobenchmarks"
      ]
    },
    {
      "page": "LsfitAllocator",
      "title": "Allocates and populates input to the matrix least squares fit dense matrix kernel microbenchmarks",
      "topics": [
        "LsfitAllocator"
      ]
    },
    {
      "page": "LsfitMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix least squares fit dense matrix kernel",
      "topics": [
        "LsfitMicrobenchmark"
      ]
    },
    {
      "page": "MatmatAllocator",
      "title": "Allocates and populates input to the matrix-matrix multiplication dense matrix kernel microbenchmarks",
      "topics": [
        "MatmatAllocator"
      ]
    },
    {
      "page": "MatmatMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix-matrix multiplication dense matrix kernel",
      "topics": [
        "MatmatMicrobenchmark"
      ]
    },
    {
      "page": "MatvecAllocator",
      "title": "Allocates and populates input to the matrix-vector multiplication dense matrix kernel microbenchmarks",
      "topics": [
        "MatvecAllocator"
      ]
    },
    {
      "page": "MatvecMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix-vector multiplication dense matrix kernel",
      "topics": [
        "MatvecMicrobenchmark"
      ]
    },
    {
      "page": "MicrobenchmarkClusteringKernel",
      "title": "Performs microbenchmarking of a clustering for machine learning kernel",
      "topics": [
        "MicrobenchmarkClusteringKernel"
      ]
    },
    {
      "page": "MicrobenchmarkDenseMatrixKernel",
      "title": "Performs microbenchmarking of a dense matrix linear algebra kernel",
      "topics": [
        "MicrobenchmarkDenseMatrixKernel"
      ]
    },
    {
      "page": "MicrobenchmarkSparseMatrixKernel",
      "title": "Performs microbenchmarking of a sparse matrix linear algebra kernel",
      "topics": [
        "MicrobenchmarkSparseMatrixKernel"
      ]
    },
    {
      "page": "PamClusteringMicrobenchmark",
      "title": "Conducts a single performance trial with the cluster::pam function",
      "topics": [
        "PamClusteringMicrobenchmark"
      ]
    },
    {
      "page": "PerformClusteringMicrobenchmarking",
      "title": "Performs microbenchmarking of machine learning functions specified by an input list",
      "topics": [
        "PerformClusteringMicrobenchmarking"
      ]
    },
    {
      "page": "PerformSparseMatrixKernelMicrobenchmarking",
      "title": "Performs microbenchmarking of sparse matrix kernels specified by an input list",
      "topics": [
        "PerformSparseMatrixKernelMicrobenchmarking"
      ]
    },
    {
      "page": "PrintClusteringMicrobenchmarkResults",
      "title": "Prints results of a clustering for machine learning microbenchmark",
      "topics": [
        "PrintClusteringMicrobenchmarkResults"
      ]
    },
    {
      "page": "PrintDenseMatrixMicrobenchmarkResults",
      "title": "Prints results of a dense matrix microbenchmark",
      "topics": [
        "PrintDenseMatrixMicrobenchmarkResults"
      ]
    },
    {
      "page": "PrintSparseMatrixMicrobenchmarkResults",
      "title": "Prints results of a sparse matrix microbenchmark",
      "topics": [
        "PrintSparseMatrixMicrobenchmarkResults"
      ]
    },
    {
      "page": "QrAllocator",
      "title": "Allocates and populates input to the QR factorization dense matrix kernel microbenchmarks",
      "topics": [
        "QrAllocator"
      ]
    },
    {
      "page": "QrMicrobenchmark",
      "title": "Conducts a single performance trial with the QR factorization dense matrix kernel",
      "topics": [
        "QrMicrobenchmark"
      ]
    },
    {
      "page": "RHPCBenchmark",
      "title": "RHPCBenchmark: A package for performance testing intrinsic R functionality and established packages relevant to high-performance computing",
      "topics": [
        "RHPCBenchmark-package",
        "RHPCBenchmark"
      ]
    },
    {
      "page": "RunDenseMatrixBenchmark",
      "title": "Runs all of the dense matrix microbenchmarks",
      "topics": [
        "RunDenseMatrixBenchmark"
      ]
    },
    {
      "page": "RunMachineLearningBenchmark",
      "title": "Runs all of the machine learning microbenchmarks",
      "topics": [
        "RunMachineLearningBenchmark"
      ]
    },
    {
      "page": "RunSparseMatrixBenchmark",
      "title": "Runs all of the sparse matrix microbenchmarks",
      "topics": [
        "RunSparseMatrixBenchmark"
      ]
    },
    {
      "page": "SolveAllocator",
      "title": "Allocates and populates input to the dense matrix kernel microbenchmark for computing the solution to a system of linear equations with multiple right-hand sides",
      "topics": [
        "SolveAllocator"
      ]
    },
    {
      "page": "SolveMicrobenchmark",
      "title": "Conducts a single performance trial with the dense matrix kernel for computing the solution to a system of linear equations with multiple right-hand sides",
      "topics": [
        "SolveMicrobenchmark"
      ]
    },
    {
      "page": "SparseCholeskyAllocator",
      "title": "Allocates and initializes input to the Cholesky factorization sparse matrix kernel microbenchmarks",
      "topics": [
        "SparseCholeskyAllocator"
      ]
    },
    {
      "page": "SparseCholeskyMicrobenchmark",
      "title": "Conducts a single performance trial with the Cholesky factorization sparse matrix kernel",
      "topics": [
        "SparseCholeskyMicrobenchmark"
      ]
    },
    {
      "page": "SparseLuAllocator",
      "title": "Allocates and initializes input to the LU factorization sparse matrix kernel microbenchmarks",
      "topics": [
        "SparseLuAllocator"
      ]
    },
    {
      "page": "SparseLuMicrobenchmark",
      "title": "Conducts a single performance trial with the LU factorization sparse matrix kernel",
      "topics": [
        "SparseLuMicrobenchmark"
      ]
    },
    {
      "page": "SparseMatrixMicrobenchmark",
      "title": "This class specifies a sparse matrix microbenchmark.",
      "topics": [
        "SparseMatrixMicrobenchmark"
      ]
    },
    {
      "page": "SparseMatrixVectorAllocator",
      "title": "Allocates and initializes input to the matrix-vector multiplication sparse matrix kernel microbenchmarks",
      "topics": [
        "SparseMatrixVectorAllocator"
      ]
    },
    {
      "page": "SparseMatrixVectorMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix-vector multiplication sparse matrix kernel",
      "topics": [
        "SparseMatrixVectorMicrobenchmark"
      ]
    },
    {
      "page": "SparseQrAllocator",
      "title": "Allocates and initializes input to the QR factorization sparse matrix kernel microbenchmarks",
      "topics": [
        "SparseQrAllocator"
      ]
    },
    {
      "page": "SparseQrMicrobenchmark",
      "title": "Conducts a single performance trial with the QR factorization sparse matrix kernel",
      "topics": [
        "SparseQrMicrobenchmark"
      ]
    },
    {
      "page": "SvdAllocator",
      "title": "Allocates and populates input to the singular value decomposition (SVD) dense matrix kernel microbenchmarks",
      "topics": [
        "SvdAllocator"
      ]
    },
    {
      "page": "SvdMicrobenchmark",
      "title": "Conducts a single performance trial with the singular value decomposition (SVD) dense matrix kernel",
      "topics": [
        "SvdMicrobenchmark"
      ]
    },
    {
      "page": "TransposeAllocator",
      "title": "Allocates and populates input to the matrix transpose dense matrix kernel microbenchmarks",
      "topics": [
        "TransposeAllocator"
      ]
    },
    {
      "page": "TransposeMicrobenchmark",
      "title": "Conducts a single performance trial with the matrix transpose dense matrix kernel",
      "topics": [
        "TransposeMicrobenchmark"
      ]
    },
    {
      "page": "WriteClusteringPerformanceResultsCsv",
      "title": "Appends performance test results of a clustering microbenchmark to a file in CSV format",
      "topics": [
        "WriteClusteringPerformanceResultsCsv"
      ]
    },
    {
      "page": "WriteDenseMatrixPerformanceResultsCsv",
      "title": "Appends dense matrix performance test results to a file in CSV format",
      "topics": [
        "WriteDenseMatrixPerformanceResultsCsv"
      ]
    },
    {
      "page": "WriteSparseMatrixPerformanceResultsCsv",
      "title": "Appends sparse matrix performance test results to a file in CSV format",
      "topics": [
        "WriteSparseMatrixPerformanceResultsCsv"
      ]
    }
  ],
  "_readme": "https://github.com/cranhaven/cranhaven.r-universe.dev/raw/package/RHPCBenchmark/RHPCBenchmark/README.md",
  "_rundeps": [
    "cluster",
    "lattice",
    "Matrix",
    "mvtnorm"
  ],
  "_vignettes": [
    {
      "source": "vignette.Rmd",
      "filename": "vignette.html",
      "title": "R HPC Benchmark",
      "author": "James R. McCombs",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Supported Microbenchmarks",
        "Supported Dense Matrix Microbenchmarks",
        "Supported Sparse Matrix Microbenchmarks",
        "Supported Machine Learning Microbenchmarks",
        "Support For Multithreading",
        "Examples",
        "Dense Matrix Microbenchmark Examples",
        "Sparse Matrix Microbenchmark Examples",
        "Machine Learning Microbenchmark Examples"
      ],
      "created": "2026-10-12 09:02:00",
      "modified": "2026-10-12 09:02:00",
      "commits": 1
    }
  ],
  "_score": 3.720159303405957,
  "_indexed": false,
  "_nocasepkg": "rhpcbenchmark",
  "_universes": [
    "cranhaven"
  ],
  "_indexurl": "https://jrmccombs.r-universe.dev/RHPCBenchmark",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-10-12T23:20:36.000Z",
      "distro": "resolute",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/54b064f6ecc4a739c5767af2825f00f6ca6e7ea37c0d5a7e50057ee27f96391c",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-10-12T23:20:24.000Z",
      "distro": "resolute",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/71cf6423ce58eaa9c2b5e098512d4ce8a01aebccd86d7903c757d442b29473d4",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-10-13T00:14:24.000Z",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/e051a51601a859de7d1c4333de007da2afb0e8e12f31a88ccd43dda9a5180109",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-10-13T00:13:45.000Z",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/9e9ddebf14a013541da91a80c62427f5ecc52e23e280e61238c3c294ac399c42",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-10-12T23:20:21.000Z",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/2d998138b80d491920580b6d072fc8821c3249d9456b9d162d2ac66cbcae6d1b",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-10-12T23:19:56.000Z",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/06ea35e1879684860c6152e3f15cf6d749deed64f4945634a6a7b8dd4d263ebc",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-10-12T23:19:38.000Z",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/6589c50556acf295238bd545b7b9f77bcfbe5a76d098ded0b48ff533182ae378",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-10-12T23:19:31.000Z",
      "commit": "a8fc13ef51c519a4daef3d874988ee12a706dba4",
      "fileid": "https://r2.ropensci.org/240a3b4e311715ada7ee3b93d45667bf760d5dc3d680e0b5dbd41afab64ec5f1",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/cranhaven/actions/runs/38320915775"
    }
  ]
}