{
  "_id": "6a1f0d20b401979e7341cfa0",
  "Package": "multiDEGGs",
  "Title": "Multi-Omic Differentially Expressed Gene-Gene Pairs",
  "Version": "1.2.1.9000",
  "Authors@R": "c(person(given = \"Elisabetta\",\nfamily = \"Sciacca\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"e.sciacca@qmul.ac.uk\",\ncomment = c(ORCID = \"0000-0001-7525-1558\")),\nperson(given = \"Myles\",family = \"Lewis\",\nrole = c(\"ctb\"),\nemail = \"myles.lewis@qmul.ac.uk\",\ncomment = c(ORCID = \"0000-0001-9365-5345\")))",
  "Maintainer": "Elisabetta Sciacca <e.sciacca@qmul.ac.uk>",
  "Description": "Performs multi-omic differential network analysis by\nrevealing differential interactions between molecular entities\n(genes, proteins, transcription factors, or other biomolecules)\nacross the omic datasets provided. For each omic dataset, a\ndifferential network is constructed where links represent\nstatistically significant differential interactions between\nentities. These networks are then integrated into a\ncomprehensive visualization using distinct colors to\ndistinguish interactions from different omic layers. This\nunified display allows interactive exploration of cross-omic\npatterns, such as differential interactions present at both\ntranscript and protein levels. For each link, users can access\ndifferential statistical significance metrics (p values or\nadjusted p values, calculated via robust or traditional linear\nregression with interaction term) and differential regression\nplots. The methods implemented in this package are described in\nSciacca et al. (2023) <doi:10.1093/bioinformatics/btad192>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "LazyDataCompression": "gzip",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Language": "en-gb",
  "URL": "https://github.com/elisabettasciacca/multiDEGGs/,\nhttps://elisabettasciacca.github.io/multiDEGGs/",
  "BugReports": "https://github.com/elisabettasciacca/multiDEGGs/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev",
  "Repository": "https://elisabettasciacca.r-universe.dev",
  "Date/Publication": "2026-04-17 10:07:02 UTC",
  "RemoteUrl": "https://github.com/elisabettasciacca/multideggs",
  "RemoteRef": "HEAD",
  "RemoteSha": "722313aa5519aead78268a7b646788db2fcfacea",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-17 09:17:34 UTC",
    "User": "root"
  },
  "Author": "Elisabetta Sciacca [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0001-7525-1558>),\nMyles Lewis [ctb] (ORCID: <https://orcid.org/0000-0001-9365-5345>)",
  "MD5sum": "0f2ea2c074b4251b231f175192026969",
  "_user": "elisabettasciacca",
  "_type": "src",
  "_file": "multiDEGGs_1.2.1.9000.tar.gz",
  "_fileid": "33500670917396089b0b3cdf9c47d4f59935cc3731b24e07f8d7578ea5828792",
  "_filesize": 1393779,
  "_sha256": "33500670917396089b0b3cdf9c47d4f59935cc3731b24e07f8d7578ea5828792",
  "_created": "2026-05-17T09:17:34.000Z",
  "_published": "2026-06-02T17:04:32.954Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79127352813,
      "time": 176,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7041167502"
    },
    {
      "job": 79127353028,
      "time": 170,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7041166667"
    },
    {
      "job": 79127352839,
      "time": 158,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7041162503"
    },
    {
      "job": 79127352903,
      "time": 199,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7041165363"
    },
    {
      "job": 79127352005,
      "time": 221,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7041148731"
    },
    {
      "job": 79127352014,
      "time": 144,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7364569413"
    },
    {
      "job": 79127352648,
      "time": 153,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7041164898"
    },
    {
      "job": 79127352980,
      "time": 156,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7041165262"
    },
    {
      "job": 79127352918,
      "time": 167,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7041166312"
    }
  ],
  "_buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/elisabettasciacca/multideggs",
  "_commit": {
    "id": "722313aa5519aead78268a7b646788db2fcfacea",
    "author": "Elisabetta <70027703+elisabettasciacca@users.noreply.github.com>",
    "committer": "Elisabetta <70027703+elisabettasciacca@users.noreply.github.com>",
    "message": "development version\n",
    "time": 1776420422
  },
  "_maintainer": {
    "name": "Elisabetta Sciacca",
    "email": "e.sciacca@qmul.ac.uk",
    "login": "elisabettasciacca",
    "linkedin": "in/elisabetta-sciacca",
    "orcid": "0000-0001-7525-1558",
    "description": "",
    "uuid": 70027703
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.4.0",
      "role": "Depends"
    },
    {
      "package": "DT",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "pbapply",
      "role": "Imports"
    },
    {
      "package": "pbmcapply",
      "role": "Imports"
    },
    {
      "package": "rmarkdown",
      "role": "Imports"
    },
    {
      "package": "sfsmisc",
      "role": "Imports"
    },
    {
      "package": "shiny",
      "role": "Imports"
    },
    {
      "package": "shinydashboard",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "visNetwork",
      "role": "Imports"
    },
    {
      "package": "kernlab",
      "role": "Suggests"
    },
    {
      "package": "nestedcv",
      "role": "Suggests"
    },
    {
      "package": "pls",
      "role": "Suggests"
    },
    {
      "package": "qvalue",
      "role": "Suggests"
    },
    {
      "package": "randomForest",
      "role": "Suggests"
    },
    {
      "package": "ranger",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "elisabettasciacca",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-20",
      "n": 2
    },
    {
      "week": "2025-22",
      "n": 8
    },
    {
      "week": "2025-23",
      "n": 1
    },
    {
      "week": "2025-27",
      "n": 1
    },
    {
      "week": "2025-30",
      "n": 11
    },
    {
      "week": "2025-31",
      "n": 15
    },
    {
      "week": "2025-43",
      "n": 3
    },
    {
      "week": "2025-44",
      "n": 1
    },
    {
      "week": "2026-03",
      "n": 5
    },
    {
      "week": "2026-06",
      "n": 3
    },
    {
      "week": "2026-09",
      "n": 2
    },
    {
      "week": "2026-13",
      "n": 4
    },
    {
      "week": "2026-14",
      "n": 4
    },
    {
      "week": "2026-15",
      "n": 2
    },
    {
      "week": "2026-16",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "v1.1.0",
      "date": "2025-07-29"
    },
    {
      "name": "v1.1.1",
      "date": "2025-10-23"
    },
    {
      "name": "v1.1.2",
      "date": "2026-01-15"
    },
    {
      "name": "v1.1.3",
      "date": "2026-02-02"
    },
    {
      "name": "v1.2.0",
      "date": "2026-03-24"
    },
    {
      "name": "v1.2.1",
      "date": "2026-04-10"
    }
  ],
  "_topics": [
    "bioinformatics",
    "differential-expression",
    "interactive-visualizations",
    "multiomics",
    "multiomics-data",
    "network-analysis",
    "omics",
    "proteomics",
    "transcriptomics"
  ],
  "_stars": 8,
  "_contributors": [
    {
      "user": "elisabettasciacca",
      "count": 163,
      "uuid": 70027703
    },
    {
      "user": "gianmarcosilluzio",
      "count": 2,
      "uuid": 10322589
    },
    {
      "user": "alaimos",
      "count": 1,
      "uuid": 5080262
    }
  ],
  "_userbio": {
    "uuid": 70027703,
    "type": "user",
    "name": "Elisabetta"
  },
  "_downloads": {
    "count": 514,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/multiDEGGs"
  },
  "_devurl": "https://github.com/elisabettasciacca/multideggs",
  "_pkgdown": "https://elisabettasciacca.github.io/multiDEGGs/",
  "_searchresults": 6,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/multiDEGGs.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/elisabettasciacca/multideggs",
  "_realowner": "elisabettasciacca",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2025-06-05"
    },
    {
      "version": "1.1.0",
      "date": "2025-08-01"
    },
    {
      "version": "1.1.1",
      "date": "2025-10-24"
    },
    {
      "version": "1.1.2",
      "date": "2026-01-16"
    },
    {
      "version": "1.1.3",
      "date": "2026-02-02"
    },
    {
      "version": "1.2.0",
      "date": "2026-03-24"
    },
    {
      "version": "1.2.1",
      "date": "2026-04-10"
    }
  ],
  "_exports": [
    ".predict_multiDEGGs",
    "get_diffNetworks",
    "get_multiOmics_diffNetworks",
    "get_sig_deggs",
    "multiDEGGs_combined_filter",
    "multiDEGGs_filter",
    "plot_regressions",
    "View_diffNetworks"
  ],
  "_datasets": [
    {
      "name": "synthetic_metadata",
      "title": "Synthetic clinical data",
      "object": "synthetic_metadata",
      "class": [
        "data.frame"
      ],
      "fields": [
        "patient_id",
        "response",
        "age",
        "gender"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "synthetic_OlinkData",
      "title": "Synthetic RNA-seq count data",
      "object": "synthetic_OlinkData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "PT001",
        "PT002",
        "PT003",
        "PT004",
        "PT005",
        "PT006",
        "PT007",
        "PT008",
        "PT009",
        "PT010",
        "PT011",
        "PT012",
        "PT013",
        "PT014",
        "PT015",
        "PT016",
        "PT017",
        "PT018",
        "PT019",
        "PT020",
        "PT021",
        "PT022",
        "PT023",
        "PT024",
        "PT025",
        "PT026",
        "PT027",
        "PT028",
        "PT029",
        "PT030",
        "PT031",
        "PT032",
        "PT033",
        "PT034",
        "PT035",
        "PT036",
        "PT037",
        "PT038",
        "PT039",
        "PT040",
        "PT041",
        "PT042",
        "PT043",
        "PT044",
        "PT045",
        "PT046",
        "PT047",
        "PT048",
        "PT049",
        "PT050",
        "PT051",
        "PT052",
        "PT053",
        "PT054",
        "PT055",
        "PT056",
        "PT057",
        "PT058",
        "PT059",
        "PT060",
        "PT061",
        "PT062",
        "PT063",
        "PT064",
        "PT065",
        "PT066",
        "PT067",
        "PT068",
        "PT069",
        "PT070",
        "PT071",
        "PT072",
        "PT073",
        "PT074",
        "PT075",
        "PT076",
        "PT077",
        "PT078",
        "PT079",
        "PT080",
        "PT081",
        "PT082",
        "PT083",
        "PT084",
        "PT085",
        "PT086",
        "PT087",
        "PT088",
        "PT089",
        "PT090",
        "PT091",
        "PT092",
        "PT093",
        "PT094",
        "PT095",
        "PT096",
        "PT097",
        "PT098",
        "PT099",
        "PT100"
      ],
      "rows": 2,
      "table": true,
      "tojson": true
    },
    {
      "name": "synthetic_proteomicData",
      "title": "Synthetic RNA-seq count data",
      "object": "synthetic_proteomicData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "PT001",
        "PT002",
        "PT003",
        "PT004",
        "PT005",
        "PT006",
        "PT007",
        "PT008",
        "PT009",
        "PT010",
        "PT011",
        "PT012",
        "PT013",
        "PT014",
        "PT015",
        "PT016",
        "PT017",
        "PT018",
        "PT019",
        "PT020",
        "PT021",
        "PT022",
        "PT023",
        "PT024",
        "PT025",
        "PT026",
        "PT027",
        "PT028",
        "PT029",
        "PT030",
        "PT031",
        "PT032",
        "PT033",
        "PT034",
        "PT035",
        "PT036",
        "PT037",
        "PT038",
        "PT039",
        "PT040",
        "PT041",
        "PT042",
        "PT043",
        "PT044",
        "PT045",
        "PT046",
        "PT047",
        "PT048",
        "PT049",
        "PT050",
        "PT051",
        "PT052",
        "PT053",
        "PT054",
        "PT055",
        "PT056",
        "PT057",
        "PT058",
        "PT059",
        "PT060",
        "PT061",
        "PT062",
        "PT063",
        "PT064",
        "PT065",
        "PT066",
        "PT067",
        "PT068",
        "PT069",
        "PT070",
        "PT071",
        "PT072",
        "PT073",
        "PT074",
        "PT075",
        "PT076",
        "PT077",
        "PT078",
        "PT079",
        "PT080",
        "PT081",
        "PT082",
        "PT083",
        "PT084",
        "PT085",
        "PT086",
        "PT087",
        "PT088",
        "PT089",
        "PT090",
        "PT091",
        "PT092",
        "PT093",
        "PT094",
        "PT095",
        "PT096",
        "PT097",
        "PT098",
        "PT099",
        "PT100"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "synthetic_rnaseqData",
      "title": "Synthetic RNA-seq count data",
      "object": "synthetic_rnaseqData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "PT001",
        "PT002",
        "PT003",
        "PT004",
        "PT005",
        "PT006",
        "PT007",
        "PT008",
        "PT009",
        "PT010",
        "PT011",
        "PT012",
        "PT013",
        "PT014",
        "PT015",
        "PT016",
        "PT017",
        "PT018",
        "PT019",
        "PT020",
        "PT021",
        "PT022",
        "PT023",
        "PT024",
        "PT025",
        "PT026",
        "PT027",
        "PT028",
        "PT029",
        "PT030",
        "PT031",
        "PT032",
        "PT033",
        "PT034",
        "PT035",
        "PT036",
        "PT037",
        "PT038",
        "PT039",
        "PT040",
        "PT041",
        "PT042",
        "PT043",
        "PT044",
        "PT045",
        "PT046",
        "PT047",
        "PT048",
        "PT049",
        "PT050",
        "PT051",
        "PT052",
        "PT053",
        "PT054",
        "PT055",
        "PT056",
        "PT057",
        "PT058",
        "PT059",
        "PT060",
        "PT061",
        "PT062",
        "PT063",
        "PT064",
        "PT065",
        "PT066",
        "PT067",
        "PT068",
        "PT069",
        "PT070",
        "PT071",
        "PT072",
        "PT073",
        "PT074",
        "PT075",
        "PT076",
        "PT077",
        "PT078",
        "PT079",
        "PT080",
        "PT081",
        "PT082",
        "PT083",
        "PT084",
        "PT085",
        "PT086",
        "PT087",
        "PT088",
        "PT089",
        "PT090",
        "PT091",
        "PT092",
        "PT093",
        "PT094",
        "PT095",
        "PT096",
        "PT097",
        "PT098",
        "PT099",
        "PT100"
      ],
      "rows": 14,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "dot-predict_multiDEGGs",
      "title": "Predict method for multiDEGGs_filter objects",
      "topics": [
        ".predict_multiDEGGs"
      ]
    },
    {
      "page": "calc_pvalues_network",
      "title": "Calculate the p values for specific category network samples",
      "topics": [
        "calc_pvalues_network"
      ]
    },
    {
      "page": "calc_pvalues_percentile",
      "title": "Compute interaction p values for a single percentile value",
      "topics": [
        "calc_pvalues_percentile"
      ]
    },
    {
      "page": "cat_parallel",
      "title": "cat_parallel (from nestedcv)",
      "topics": [
        "cat_parallel"
      ]
    },
    {
      "page": "get_diffNetworks",
      "title": "Generate multi-omic differential networks",
      "topics": [
        "get_diffNetworks"
      ]
    },
    {
      "page": "get_diffNetworks_singleOmic",
      "title": "Generate differential networks for single omic analysis",
      "topics": [
        "get_diffNetworks_singleOmic"
      ]
    },
    {
      "page": "get_multiOmics_diffNetworks",
      "title": "Get a table of all significant interactions across categories",
      "topics": [
        "get_multiOmics_diffNetworks"
      ]
    },
    {
      "page": "get_sig_deggs",
      "title": "Get a table of all the significant interactions across categories",
      "topics": [
        "get_sig_deggs"
      ]
    },
    {
      "page": "multiDEGGs_combined_filter",
      "title": "Combined multiDEGGs filter",
      "topics": [
        "multiDEGGs_combined_filter"
      ]
    },
    {
      "page": "multiDEGGs_filter",
      "title": "multiDEGGs_filter",
      "topics": [
        "multiDEGGs_filter"
      ]
    },
    {
      "page": "my_palette",
      "title": "Internal function for colors",
      "topics": [
        "my_palette"
      ]
    },
    {
      "page": "node_boxplot",
      "title": "Boxplots of single nodes (genes,proteins, etc.)",
      "topics": [
        "node_boxplot"
      ]
    },
    {
      "page": "plot_regressions",
      "title": "Plot differential regressions for a link",
      "topics": [
        "plot_regressions"
      ]
    },
    {
      "page": "predict.multiDEGGs_filter",
      "title": "Wrapper of .predict_multiDEGGs for multiDEGGs_filter()",
      "topics": [
        "predict.multiDEGGs_filter"
      ]
    },
    {
      "page": "predict.multiDEGGs_filter_combined",
      "title": "Wrapper of .predict_multiDEGGs for multiDEGGs_filter_combined()",
      "topics": [
        "predict.multiDEGGs_filter_combined"
      ]
    },
    {
      "page": "synthetic_metadata",
      "title": "Synthetic clinical data",
      "topics": [
        "synthetic_metadata"
      ]
    },
    {
      "page": "synthetic_OlinkData",
      "title": "Synthetic RNA-seq count data",
      "topics": [
        "synthetic_OlinkData"
      ]
    },
    {
      "page": "synthetic_proteomicData",
      "title": "Synthetic RNA-seq count data",
      "topics": [
        "synthetic_proteomicData"
      ]
    },
    {
      "page": "synthetic_rnaseqData",
      "title": "Synthetic RNA-seq count data",
      "topics": [
        "synthetic_rnaseqData"
      ]
    },
    {
      "page": "tidy_metadata",
      "title": "Tidying up of metadata. Samples belonging to undesidered categories (if specified) will be removed as well as categories with less than five samples, and NAs.",
      "topics": [
        "tidy_metadata"
      ]
    },
    {
      "page": "View_diffNetworks",
      "title": "Interactive visualisation of differential networks",
      "topics": [
        "View_diffNetworks"
      ]
    }
  ],
  "_pkglogo": "https://github.com/elisabettasciacca/multideggs/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/elisabettasciacca/multideggs/raw/HEAD/README.md",
  "_rundeps": [
    "base64enc",
    "bslib",
    "cachem",
    "cli",
    "commonmark",
    "crosstalk",
    "digest",
    "DT",
    "evaluate",
    "fastmap",
    "fontawesome",
    "fs",
    "glue",
    "highr",
    "htmltools",
    "htmlwidgets",
    "httpuv",
    "jquerylib",
    "jsonlite",
    "knitr",
    "later",
    "lazyeval",
    "lifecycle",
    "magrittr",
    "MASS",
    "memoise",
    "mime",
    "otel",
    "pbapply",
    "pbmcapply",
    "promises",
    "R6",
    "rappdirs",
    "Rcpp",
    "rlang",
    "rmarkdown",
    "sass",
    "sfsmisc",
    "shiny",
    "shinydashboard",
    "sourcetools",
    "tinytex",
    "visNetwork",
    "withr",
    "xfun",
    "xtable",
    "yaml"
  ],
  "_vignettes": [
    {
      "source": "Differential_Network_Analysis.Rmd",
      "filename": "Differential_Network_Analysis.html",
      "title": "Differential Network Analysis with multiDEGGs",
      "author": "Elisabetta Sciacca, Myles Lewis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "Quick start - Generate Differential Networks",
        "Key Parameters of get_diffNetworks",
        "Visualization",
        "List All Differential Interactions",
        "Differential Regression Plots",
        "Differential Network Analysis with More Than Two Groups",
        "Custom Reference Network",
        "Citation"
      ],
      "created": "2026-03-23 15:27:57",
      "modified": "2026-03-24 09:19:59",
      "commits": 2
    },
    {
      "source": "Feature_Selection.Rmd",
      "filename": "Feature_Selection.html",
      "title": "Feature Selection and Feature Engineering with multiDEGGs",
      "author": "Elisabetta Sciacca, Myles Lewis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Feature Selection and Feature Engineering with multiDEGGs in Nested Cross-Validation",
        "Why Nested Cross-Validation for Feature Engineering?",
        "multiDEGGs_filter(): Pure Differential Network-Based Selection",
        "Key Parameters",
        "Usage Examples",
        "Basic Usage: Pairs Only",
        "Including Individual Genes (keep_single_genes = TRUE)",
        "How nfilter works with keep_single_genes",
        "multiDEGGs_combined_filter(): Hybrid Statistical and Network-Based Selection",
        "Dynamic vs. Balanced Selection Modes",
        "Dynamic Selection (dynamic_nfilter = TRUE)",
        "Balanced Selection (dynamic_nfilter = FALSE)",
        "Available Statistical Methods",
        "Practical considerations",
        "Feature Engineering Details",
        "Citation"
      ],
      "created": "2026-02-02 14:21:22",
      "modified": "2026-04-01 10:36:50",
      "commits": 2
    }
  ],
  "_score": 6.380211241711606,
  "_indexed": true,
  "_nocasepkg": "multideggs",
  "_universes": [
    "elisabettasciacca"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.2.1.9000",
      "date": "2026-05-17T09:20:10.000Z",
      "distro": "noble",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "737311518a0fb0086b26f956d606fd46e80f76781ee4beae340170e3f490e67f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.2.1.9000",
      "date": "2026-05-17T09:20:06.000Z",
      "distro": "noble",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "8ed9b7c639b99ecf7062b90821eb04bffd40a02e5e101cf24e190e3d605dda2e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.2.1.9000",
      "date": "2026-05-17T09:19:37.000Z",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "645ff2d375c0b10628206a86f503323f991473b3e8e07f6df5b5b1a3dbbb1fed",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.2.1.9000",
      "date": "2026-05-17T09:19:56.000Z",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "6564bd0fd67e75dd567e243c3190fd9d0adfb4770cbc883ec7afb57a30061489",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.2.1.9000",
      "date": "2026-05-17T09:18:57.000Z",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "44b40ef2f54f34f95391463b5ac96bf0d6a2f7c982f403be526e72f5b29288ec",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.2.1.9000",
      "date": "2026-05-17T09:18:56.000Z",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "c374029ce3a07cd24ec93968ec62de846ea059e80c9316ac43792065386cc17c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.2.1.9000",
      "date": "2026-05-17T09:19:09.000Z",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "9e1427f09db686a1d20c49b653f9fd1cce8ae5f2356deae17fc32720fe544e41",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.2.1.9000",
      "date": "2026-06-02T17:04:08.000Z",
      "commit": "722313aa5519aead78268a7b646788db2fcfacea",
      "fileid": "f3ca1369f7cfc5ceb4b45a3d4aeb347467eefb1e2a4f04f291d3deaaa741ce26",
      "status": "success",
      "buildurl": "https://github.com/r-universe/elisabettasciacca/actions/runs/25986809046"
    }
  ]
}