{
  "_id": "6ab7699699f7aa8c6aa304a6",
  "Package": "MethScope",
  "Title": "Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent\nPattern Encoding",
  "Version": "1.0.4",
  "Authors@R": "c(\nperson(\"Hongxiang\", \"Fu\", , \"fhx@seas.upenn.edu\", role = c(\"aut\", \"cre\"),comment = c(ORCID = \"0000-0002-9873-8606\")),\nperson(\"Wanding\", \"Zhou\", , \"wanding.zhou@pennmedicine.upenn.edu\", role = c(\"cph\", \"fnd\")),\nperson(\"The SAMtools/HTSlib authors\", role = c(\"ctb\",\"cph\"),\ncomment = \"BGZF components; see inst/COPYRIGHTS\"),\nperson(given = \"Attractive\", family = \"Chaos\",\nrole = c(\"ctb\",\"cph\"),\ncomment = \"Author and copyright holder of khash.h (klib, MIT license)\")\n)",
  "Description": "Methods for analyzing DNA methylation data via Most\nRecurrent Methylation Patterns (MRMPs). Supports cell-type\nannotation, spatial deconvolution, unsupervised clustering, and\ncancer cell-of-origin inference. Includes C-backed summaries\nfor YAME \".cg/.cm\" files (overlap counts, log2 odds ratios,\nbeta/depth aggregation), an XGBoost classifier, NNLS\ndeconvolution, and plotting utilities. Scales to large spatial\nand single-cell methylomes and is robust to extreme sparsity.",
  "License": "AGPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "VignetteBuilder": "knitr",
  "SystemRequirements": "zlib",
  "NeedsCompilation": "yes",
  "Language": "en-US",
  "Packaged": {
    "Date": "2026-09-26 06:34:27 UTC",
    "User": "root"
  },
  "Author": "Hongxiang Fu [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9873-8606>), Wanding Zhou [cph,\nfnd], The SAMtools/HTSlib authors [ctb, cph] (BGZF components;\nsee inst/COPYRIGHTS), Attractive Chaos [ctb, cph] (Author and\ncopyright holder of khash.h (klib, MIT license))",
  "Maintainer": "Hongxiang Fu <fhx@seas.upenn.edu>",
  "Config/pak/sysreqs": "make libicu-dev zlib1g-dev",
  "Repository": "https://hongxiang2023.r-universe.dev",
  "Date/Publication": "2026-08-26 23:46:18 UTC",
  "RemoteUrl": "https://github.com/cran/MethScope",
  "RemoteRef": "HEAD",
  "RemoteSha": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
  "_user": "hongxiang2023",
  "_type": "src",
  "_file": "MethScope_1.0.4.tar.gz",
  "_fileid": "https://r2.ropensci.org/bdb923b98fcf013f807432e75bb41d788661d8aecd160e36c852b527b555b5d8",
  "_filesize": 9972729,
  "_sha256": "bdb923b98fcf013f807432e75bb41d788661d8aecd160e36c852b527b555b5d8",
  "_expires": "2027-01-04T06:43:31.000Z",
  "_created": "2026-09-26T06:34:27.000Z",
  "_published": "2026-09-26T06:43:33.966Z",
  "_jobs": [
    {
      "job": 108354911053,
      "time": 196,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10899783789"
    },
    {
      "job": 108354911078,
      "time": 221,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10899958403"
    },
    {
      "job": 108354911067,
      "time": 222,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10900276068"
    },
    {
      "job": 108354911088,
      "time": 185,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10900121630"
    },
    {
      "job": 108354911004,
      "time": 195,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "10900725237"
    },
    {
      "job": 108354910999,
      "time": 494,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "10900391192"
    },
    {
      "job": 108354911090,
      "time": 212,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10900003241"
    },
    {
      "job": 108354911110,
      "time": 281,
      "config": "macos-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10900171452"
    },
    {
      "job": 108354068598,
      "time": 358,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10899958133"
    },
    {
      "job": 108354910981,
      "time": 159,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "10900510741"
    },
    {
      "job": 108354911118,
      "time": 430,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10900426032"
    },
    {
      "job": 108354911106,
      "time": 199,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10900241101"
    },
    {
      "job": 108354911084,
      "time": 162,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "10900151337"
    },
    {
      "job": 108354911126,
      "time": 417,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10899913723"
    },
    {
      "job": 108354911089,
      "time": 142,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10900650648"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036",
  "_status": "success",
  "_upstream": "https://github.com/cran/MethScope",
  "_commit": {
    "id": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
    "author": "Hongxiang Fu <fhx@seas.upenn.edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.4\n",
    "time": 1787787978
  },
  "_maintainer": {
    "name": "Hongxiang Fu",
    "email": "fhx@seas.upenn.edu",
    "login": "hongxiang2023",
    "description": "",
    "uuid": 50134879,
    "orcid": "0000-0002-9873-8606"
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0",
      "role": "Depends"
    },
    {
      "package": "xgboost",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "caret",
      "role": "Imports"
    },
    {
      "package": "doParallel",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "uwot",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "FNN",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "nnls",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "spelling",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-50",
      "n": 1
    },
    {
      "week": "2026-09",
      "n": 1
    },
    {
      "week": "2026-24",
      "n": 1
    },
    {
      "week": "2026-25",
      "n": 1
    },
    {
      "week": "2026-35",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "1.0.0",
      "date": "2025-12-09"
    },
    {
      "name": "1.0.1",
      "date": "2026-02-26"
    },
    {
      "name": "1.0.2",
      "date": "2026-06-13"
    },
    {
      "name": "1.0.3",
      "date": "2026-06-16"
    },
    {
      "name": "1.0.4",
      "date": "2026-08-26"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "hongxiang2023",
      "count": 5,
      "uuid": 50134879
    }
  ],
  "_userbio": {
    "uuid": 50134879,
    "type": "user",
    "name": "Hongxiang Fu",
    "followers": 2
  },
  "_downloads": {
    "count": 424,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MethScope"
  },
  "_searchresults": 7,
  "_topics": [
    "zlib"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/MethScope.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_realowner": "hongxiang2023",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2025-12-11"
    },
    {
      "version": "1.0.1",
      "date": "2026-02-26"
    },
    {
      "version": "1.0.2",
      "date": "2026-06-13"
    },
    {
      "version": "1.0.3",
      "date": "2026-06-16"
    },
    {
      "version": "1.0.4",
      "date": "2026-08-27"
    }
  ],
  "_exports": [
    "confidence_score",
    "confidence_score_top95",
    "filter_cell",
    "GenerateInput",
    "GenerateReference",
    "imputeRowMean",
    "Input_training",
    "Liu2021_MouseBrain_P1000",
    "nnls_deconv",
    "PlotConfusion",
    "PlotF1",
    "PlotUMAP",
    "PlotUMAP_fixedwindow",
    "PredictCellType",
    "smooth_matrix",
    "Zhou2025_HumanAtlas_P1000"
  ],
  "_help": [
    {
      "page": "confidence_score",
      "title": "Produce confidence score for XGBoost prediction",
      "topics": [
        "confidence_score"
      ]
    },
    {
      "page": "confidence_score_top95",
      "title": "Produce confidence score based on top 95 percent for XGBoost prediction",
      "topics": [
        "confidence_score_top95"
      ]
    },
    {
      "page": "filter_cell",
      "title": "Filter final prediction to reduce noise",
      "topics": [
        "filter_cell"
      ]
    },
    {
      "page": "GenerateInput",
      "title": "Generate pattern level data for cell type annotation",
      "topics": [
        "GenerateInput"
      ]
    },
    {
      "page": "GenerateReference",
      "title": "Generate reference pattern file",
      "topics": [
        "GenerateReference"
      ]
    },
    {
      "page": "imputeRowMean",
      "title": "Impute missing value for 100K window matrix",
      "topics": [
        "imputeRowMean"
      ]
    },
    {
      "page": "Input_training",
      "title": "Train XGBoost model to predict cell type",
      "topics": [
        "Input_training"
      ]
    },
    {
      "page": "Liu2021_MouseBrain_P1000",
      "title": "Load the Liu et al. mouse brain pretrained model",
      "topics": [
        "Liu2021_MouseBrain_P1000"
      ]
    },
    {
      "page": "nnls_deconv",
      "title": "Estimate cell type relative proportion",
      "topics": [
        "nnls_deconv"
      ]
    },
    {
      "page": "PlotConfusion",
      "title": "Generate confusion table for the final prediction",
      "topics": [
        "PlotConfusion"
      ]
    },
    {
      "page": "PlotF1",
      "title": "Generate F1 score barplot for each class",
      "topics": [
        "PlotF1"
      ]
    },
    {
      "page": "PlotUMAP",
      "title": "Generate UMAP for the final prediction based on cell patterns",
      "topics": [
        "PlotUMAP"
      ]
    },
    {
      "page": "PlotUMAP_fixedwindow",
      "title": "Generate UMAP for the final prediction based on fixed window eg.100kb bin widows",
      "topics": [
        "PlotUMAP_fixedwindow"
      ]
    },
    {
      "page": "PredictCellType",
      "title": "Predict cell type annotation from the trained model",
      "topics": [
        "PredictCellType"
      ]
    },
    {
      "page": "smooth_matrix",
      "title": "Smooth cell by pattern matrix to reduce noise",
      "topics": [
        "smooth_matrix"
      ]
    },
    {
      "page": "Zhou2025_HumanAtlas_P1000",
      "title": "Load the Zhou et al. human atlas pretrained model",
      "topics": [
        "Zhou2025_HumanAtlas_P1000"
      ]
    }
  ],
  "_pkglogo": "https://github.com/cran/MethScope/raw/HEAD/man/figures/logo.svg",
  "_readme": "https://github.com/cran/MethScope/raw/HEAD/README.md",
  "_rundeps": [
    "BH",
    "caret",
    "class",
    "cli",
    "clock",
    "codetools",
    "cpp11",
    "data.table",
    "diagram",
    "digest",
    "doParallel",
    "dplyr",
    "dqrng",
    "e1071",
    "farver",
    "FNN",
    "foreach",
    "future",
    "future.apply",
    "generics",
    "ggplot2",
    "globals",
    "glue",
    "gower",
    "gtable",
    "hardhat",
    "ipred",
    "irlba",
    "isoband",
    "iterators",
    "jsonlite",
    "KernSmooth",
    "labeling",
    "lattice",
    "lava",
    "lifecycle",
    "listenv",
    "lubridate",
    "magrittr",
    "MASS",
    "Matrix",
    "ModelMetrics",
    "nlme",
    "nnet",
    "nnls",
    "numDeriv",
    "parallelly",
    "pillar",
    "pkgconfig",
    "plyr",
    "pROC",
    "prodlim",
    "progressr",
    "proxy",
    "purrr",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppAnnoy",
    "RcppEigen",
    "RcppProgress",
    "recipes",
    "reshape2",
    "rlang",
    "rpart",
    "RSpectra",
    "S7",
    "scales",
    "shape",
    "sitmo",
    "sparsevctrs",
    "SQUAREM",
    "stringi",
    "stringr",
    "survival",
    "tibble",
    "tidyr",
    "tidyselect",
    "timechange",
    "timeDate",
    "tzdb",
    "utf8",
    "uwot",
    "vctrs",
    "viridisLite",
    "withr",
    "xgboost"
  ],
  "_sysdeps": [
    {
      "shlib": "libz",
      "package": "zlib1g",
      "headers": "zlib1g-dev",
      "source": "zlib",
      "version": "1:1.3.dfsg+really1.3.1-1ubuntu3.1",
      "name": "zlib",
      "homepage": "http://zlib.net/",
      "description": "compression library - runtime"
    }
  ],
  "_vignettes": [
    {
      "source": "methscope-cli.Rmd",
      "filename": "methscope-cli.html",
      "title": "methscope-cli",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "When to Use methscope-cli",
        "Build methscope-cli",
        "Example Commands",
        "Cell-Type Prediction",
        "Generate a Feature Matrix",
        "Deconvolution",
        "Upscaling",
        "Runnable example",
        "Relationship to the R Package",
        "Notes on Input Order"
      ],
      "created": "2026-08-26 23:46:18",
      "modified": "2026-08-26 23:46:18",
      "commits": 1
    },
    {
      "source": "MethScope-Input.Rmd",
      "filename": "MethScope-Input.html",
      "title": "MethScope-Input",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Install command-line dependencies",
        "Choose the correct CpG reference",
        "Convert M/U count BED files",
        "Convert ALLC files",
        "Convert beta or methylation fraction files",
        "Convert binary BED tracks",
        "Use the converted file in MethScope",
        "Troubleshooting",
        "Related resources"
      ],
      "created": "2026-08-26 23:46:18",
      "modified": "2026-08-26 23:46:18",
      "commits": 1
    },
    {
      "source": "MethScope-MRMP.Rmd",
      "filename": "MethScope-MRMP.html",
      "title": "MethScope-MRMP",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Generate an MRMP reference",
        "Prerequisites",
        "Step 1: Binarize the reference .cg file",
        "Step 2: Build MRMP pattern definitions",
        "Step 3: Pack patterns into a .cm reference",
        "Build MRMP references from cell-type pseudobulks",
        "Step 1: Create pseudobulk profiles per cell type",
        "Step 2: Repeat per cell type and build MRMPs"
      ],
      "created": "2025-12-09 16:46:13",
      "modified": "2026-08-26 23:46:18",
      "commits": 2
    },
    {
      "source": "MethScope-Tutorial.Rmd",
      "filename": "MethScope-Tutorial.html",
      "title": "MethScope-Tutorial",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "1) Generate cell/pixel/sample MRMP embeddings",
        "2) Perform cell-type annotation",
        "3) Train a custom classification model",
        "4) Visualize prediction results",
        "5) Cell-type deconvolution",
        "6) Unsupervised clustering (Seurat example)",
        "7) Upscaling Network (10k-CpG block example)",
        "7.1 Prepare model input (x) and target (y)",
        "7.2 Train decoder (Python)",
        "7.3 Evaluate",
        "Related resources"
      ],
      "created": "2025-12-09 16:46:13",
      "modified": "2026-08-26 23:46:18",
      "commits": 5
    },
    {
      "source": "pretrained-models.Rmd",
      "filename": "pretrained-models.html",
      "title": "Pretrained models & bundles",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Using a pretrained bundle",
        "Bundling and unbundling",
        "Bundle format (technical)",
        "Models in R"
      ],
      "created": "2026-08-26 23:46:18",
      "modified": "2026-08-26 23:46:18",
      "commits": 1
    },
    {
      "source": "agent-skill.Rmd",
      "filename": "agent-skill.html",
      "title": "Using the MethScope agent skill",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Install for Codex",
        "Example Codex prompts",
        "Install for Claude-style project context",
        "What the skill knows",
        "Update the skill"
      ],
      "created": "2026-08-26 23:46:18",
      "modified": "2026-08-26 23:46:18",
      "commits": 1
    }
  ],
  "_score": 4.176091259055681,
  "_indexed": true,
  "_nocasepkg": "methscope",
  "_universes": [
    "hongxiang2023"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:23.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/2ccb687ebbb9eb839bf1ffe5317e6158c1aa6b129fd4e5495b5fd11c77e253fc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:28.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/0f3cc4eaeb97f334be75cf3b36d6deb38d6c9ac4c03af5c106a258b944797fe6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:34.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/08d574afdac84d271d1f453e50579d25669af75465c20bfdb4b8e6d1258b4adb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:08.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/b8796ccd1b64a1c3c19db1b6d4165a5dd3b3d072a3ee54d3b278c9eb5796a5f4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:04.000Z",
      "arch": "aarch64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/aa8b7e2ee0f2fa551fee39c34f35b1dda0d12a29c80f5ec4143e103c869d4845",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-09-26T06:39:53.000Z",
      "arch": "x86_64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/dce2778e12be4ce51b4ddf3a2a695274582ee0524e79efd6180dd7d1dab0fa7d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:00.000Z",
      "arch": "aarch64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/0223315f2a6c6120dc9e6d53580a157f64810fb388cd0a479dba53eb250caa89",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:39.000Z",
      "arch": "x86_64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/6084841be1c6c77e9a22fb2bf0d7284f754a35c41681e35fb12a823a37a813e8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.4",
      "date": "2026-09-26T06:37:23.000Z",
      "arch": "emscripten",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/7d9abafbed6d08d60c1efa411ef34c78607f52c05fd5c4ac31a7bda95949ba08",
      "status": "success",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-09-26T06:40:04.000Z",
      "arch": "aarch64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/97b1d75726560471f937101e19c7043264afc85861540ce4d2d7415ace70ae4e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-09-26T06:36:12.000Z",
      "arch": "x86_64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/46826ca4574fe5e05f9ec49d645d826eb3cef53559be21e002334cbb80a5fb8a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-09-26T06:36:11.000Z",
      "arch": "x86_64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/2be1f342a7ae309d5705b84b9593eefc2eda67c1cd4c05f343f3038e7ca1aaa5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-09-26T06:39:59.000Z",
      "arch": "aarch64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/e6706a1e5ba534e4498927a41c25187ac57da08a9018af97af189e9ba93d39bd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.0.4",
      "date": "2026-09-26T06:35:55.000Z",
      "arch": "x86_64",
      "commit": "e927782e5dbbbf4a3a895ba6ba114d88bae648d8",
      "fileid": "https://r2.ropensci.org/05a8e385197e2b8548d2f60c66e169a6a35906949c55ace3e29c87756873e9cb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hongxiang2023/actions/runs/36223858036"
    }
  ]
}