{
  "_id": "6a1f1dfcb401979e7341fd24",
  "Package": "faux",
  "Title": "Simulation for Factorial Designs",
  "Version": "1.2.4",
  "Date": "2026-03-06",
  "Authors@R": "c(\nperson(\ngiven = \"Lisa\",\nfamily = \"DeBruine\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"debruine@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7523-5539\")\n),\nperson(\ngiven = \"Anna\",\nfamily = \"Krystalli\",\nrole = c(\"ctb\"),\nemail = \"annakrystalli@googlemail.com\",\ncomment = c(ORCID = \"0000-0002-2378-4915\")\n),\nperson(\ngiven = \"Andrew\",\nfamily = \"Heiss\",\nrole = c(\"ctb\"),\nemail = \"andrew@andrewheiss.com\",\ncomment = c(ORCID = \"0000-0002-3948-3914\")\n))",
  "Description": "Create datasets with factorial structure through\nsimulation by specifying variable parameters. Extended\ndocumentation at <https://www.scienceverse.org/faux/>.\nDescribed in DeBruine (2020) <doi:10.5281/zenodo.2669586>.",
  "License": "MIT + file LICENSE",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "URL": "https://github.com/scienceverse/faux,\nhttps://www.scienceverse.org/faux/",
  "BugReports": "https://github.com/scienceverse/faux/issues",
  "Config/Needs/website": "rmarkdown",
  "Config/pak/sysreqs": "cmake make",
  "Repository": "https://scienceverse.r-universe.dev",
  "Date/Publication": "2026-03-17 14:00:19 UTC",
  "RemoteUrl": "https://github.com/scienceverse/faux",
  "RemoteRef": "HEAD",
  "RemoteSha": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-16 08:30:44 UTC",
    "User": "root"
  },
  "Author": "Lisa DeBruine [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-7523-5539>),\nAnna Krystalli [ctb] (ORCID: <https://orcid.org/0000-0002-2378-4915>),\nAndrew Heiss [ctb] (ORCID: <https://orcid.org/0000-0002-3948-3914>)",
  "Maintainer": "Lisa DeBruine <debruine@gmail.com>",
  "MD5sum": "36fd4ed6035e65ece5c4cdfb85c6da5f",
  "_user": "scienceverse",
  "_type": "src",
  "_file": "faux_1.2.4.tar.gz",
  "_fileid": "46a37147cb57cbbaabe0c294abcc02872eeb140a050d0b42664ee8d849f94d42",
  "_filesize": 1051063,
  "_sha256": "46a37147cb57cbbaabe0c294abcc02872eeb140a050d0b42664ee8d849f94d42",
  "_created": "2026-05-16T08:30:44.000Z",
  "_published": "2026-06-02T18:16:27.994Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79140981242,
      "time": 225,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7031985972"
    },
    {
      "job": 79140981617,
      "time": 183,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7031981544"
    },
    {
      "job": 79140981400,
      "time": 235,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7031984319"
    },
    {
      "job": 79140981244,
      "time": 175,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7031977542"
    },
    {
      "job": 79140980600,
      "time": 229,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7031963058"
    },
    {
      "job": 79140980546,
      "time": 133,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7366188306"
    },
    {
      "job": 79140981241,
      "time": 199,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7031983336"
    },
    {
      "job": 79140981322,
      "time": 253,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7031989153"
    },
    {
      "job": 79140980978,
      "time": 183,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7031981581"
    }
  ],
  "_buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/scienceverse/faux",
  "_commit": {
    "id": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
    "author": "Lisa DeBruine <debruine@gmail.com>",
    "committer": "Lisa DeBruine <debruine@gmail.com>",
    "message": "delete CRAN submission file\n",
    "time": 1773756019
  },
  "_maintainer": {
    "name": "Lisa DeBruine",
    "email": "debruine@gmail.com",
    "login": "debruine",
    "mastodon": "@debruine@tech.lgbt",
    "bluesky": "@debruine.bsky.social",
    "uuid": 14863295,
    "orcid": "0000-0002-7523-5539"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.2.4",
      "role": "Depends"
    },
    {
      "package": "lme4",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 1.1.1",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 3.3.0",
      "role": "Imports"
    },
    {
      "package": "jsonlite",
      "role": "Imports"
    },
    {
      "package": "truncnorm",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 2.1.0",
      "role": "Suggests"
    },
    {
      "package": "tidyr",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "roxygen2",
      "role": "Suggests"
    },
    {
      "package": "cowplot",
      "role": "Suggests"
    },
    {
      "package": "ggExtra",
      "role": "Suggests"
    },
    {
      "package": "purrr",
      "role": "Suggests"
    },
    {
      "package": "broom",
      "role": "Suggests"
    },
    {
      "package": "broom.mixed",
      "role": "Suggests"
    },
    {
      "package": "psych",
      "role": "Suggests"
    },
    {
      "package": "lmerTest",
      "role": "Suggests"
    },
    {
      "package": "kableExtra",
      "role": "Suggests"
    },
    {
      "package": "glue",
      "role": "Suggests"
    },
    {
      "package": "openssl",
      "role": "Suggests"
    },
    {
      "package": "readr",
      "role": "Suggests"
    },
    {
      "package": "patchwork",
      "role": "Suggests"
    }
  ],
  "_owner": "scienceverse",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [
    {
      "week": "2025-34",
      "n": 2
    },
    {
      "week": "2025-39",
      "n": 1
    },
    {
      "week": "2025-40",
      "n": 1
    },
    {
      "week": "2025-42",
      "n": 2
    },
    {
      "week": "2025-43",
      "n": 1
    },
    {
      "week": "2026-10",
      "n": 1
    },
    {
      "week": "2026-12",
      "n": 2
    }
  ],
  "_tags": [
    {
      "name": "v1.2.3",
      "date": "2025-10-01"
    },
    {
      "name": "v1.2.4",
      "date": "2026-03-06"
    }
  ],
  "_topics": [
    "data",
    "simulation"
  ],
  "_stars": 101,
  "_contributors": [
    {
      "user": "debruine",
      "count": 373,
      "uuid": 14863295
    },
    {
      "user": "jcolomb",
      "count": 3,
      "uuid": 1876667
    },
    {
      "user": "annakrystalli",
      "count": 2,
      "uuid": 5583057
    },
    {
      "user": "andrewheiss",
      "count": 1,
      "uuid": 73663
    }
  ],
  "_userbio": {
    "uuid": 49806508,
    "type": "organization",
    "name": "ScienceVerse"
  },
  "_downloads": {
    "count": 1123,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/faux"
  },
  "_devurl": "https://github.com/scienceverse/faux",
  "_pkgdown": "https://www.scienceverse.org/faux/",
  "_searchresults": 836,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/faux.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/scienceverse/faux",
  "_realowner": "scienceverse",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.0.1.4",
      "date": "2020-08-19"
    },
    {
      "version": "0.0.1.5",
      "date": "2020-09-22"
    },
    {
      "version": "0.0.1.6",
      "date": "2021-01-21"
    },
    {
      "version": "1.0.0",
      "date": "2021-03-27"
    },
    {
      "version": "1.1.0",
      "date": "2021-09-13"
    },
    {
      "version": "1.2.0",
      "date": "2023-02-06"
    },
    {
      "version": "1.2.1",
      "date": "2023-04-20"
    },
    {
      "version": "1.2.2",
      "date": "2025-01-17"
    },
    {
      "version": "1.2.3",
      "date": "2025-10-03"
    },
    {
      "version": "1.2.4",
      "date": "2026-03-11"
    }
  ],
  "_exports": [
    "%>%",
    "add_between",
    "add_contrast",
    "add_random",
    "add_ranef",
    "add_recode",
    "add_within",
    "average_r2tau_0",
    "beta2norm",
    "binom2norm",
    "check_design",
    "check_mixed_design",
    "check_sim_stats",
    "codebook",
    "contr_code_anova",
    "contr_code_difference",
    "contr_code_helmert",
    "contr_code_poly",
    "contr_code_sum",
    "contr_code_treatment",
    "convert_r",
    "cormat",
    "cormat_from_triangle",
    "distfuncs",
    "dlikert",
    "faux_options",
    "fh_bounds",
    "fix_name_labels",
    "gamma2norm",
    "get_coefs",
    "get_contrast_vals",
    "get_design",
    "get_design_long",
    "get_params",
    "getcols",
    "interactive_design",
    "is_pos_def",
    "json_design",
    "long2wide",
    "make_id",
    "messy",
    "nbinom2norm",
    "nested_list",
    "norm2beta",
    "norm2binom",
    "norm2gamma",
    "norm2likert",
    "norm2nbinom",
    "norm2norm",
    "norm2pois",
    "norm2trunc",
    "norm2unif",
    "plikert",
    "plot_design",
    "pos_def_limits",
    "qlikert",
    "readline_check",
    "rlikert",
    "rmulti",
    "rnorm_multi",
    "rnorm_pre",
    "sample_from_pop",
    "set_design",
    "sim_design",
    "sim_df",
    "sim_joint_dist",
    "sim_mixed_cc",
    "sim_mixed_df",
    "std_alpha2average_r",
    "trunc2norm",
    "unif2norm",
    "unique_pairs",
    "wide2long"
  ],
  "_datasets": [
    {
      "name": "faceratings",
      "title": "Attractiveness ratings of faces",
      "object": "faceratings",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "rating",
        "rater_id",
        "face_id",
        "rater_sex",
        "rater_age",
        "rater_sexpref",
        "face_sex",
        "face_age",
        "face_eth"
      ],
      "rows": 256326,
      "table": true,
      "tojson": true
    },
    {
      "name": "fr4",
      "title": "Attractiveness rating subset",
      "object": "fr4",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "rating",
        "rater_id",
        "face_id",
        "rater_sex",
        "rater_age",
        "rater_sexpref",
        "face_sex",
        "face_age",
        "face_eth"
      ],
      "rows": 768,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_between",
      "title": "Add between factors",
      "topics": [
        "add_between"
      ]
    },
    {
      "page": "add_contrast",
      "title": "Add a contrast to a data frame",
      "topics": [
        "add_contrast"
      ]
    },
    {
      "page": "add_random",
      "title": "Add random factors to a data structure",
      "topics": [
        "add_random"
      ]
    },
    {
      "page": "add_ranef",
      "title": "Add random effects to a data frame",
      "topics": [
        "add_ranef"
      ]
    },
    {
      "page": "add_recode",
      "title": "Recode a categorical column",
      "topics": [
        "add_recode"
      ]
    },
    {
      "page": "add_within",
      "title": "Add within factors",
      "topics": [
        "add_within"
      ]
    },
    {
      "page": "average_r2tau_0",
      "title": "Average r to Random Intercept SD",
      "topics": [
        "average_r2tau_0"
      ]
    },
    {
      "page": "beta2norm",
      "title": "Convert beta to normal",
      "topics": [
        "beta2norm"
      ]
    },
    {
      "page": "binom2norm",
      "title": "Convert binomial to normal",
      "topics": [
        "binom2norm"
      ]
    },
    {
      "page": "check_design",
      "title": "Validates the specified design",
      "topics": [
        "check_design"
      ]
    },
    {
      "page": "check_mixed_design",
      "title": "Get random intercepts for subjects and items",
      "topics": [
        "check_mixed_design"
      ]
    },
    {
      "page": "codebook",
      "title": "Create PsychDS Codebook from Data",
      "topics": [
        "codebook"
      ]
    },
    {
      "page": "contr_code_anova",
      "title": "Anova code a factor",
      "topics": [
        "contr_code_anova"
      ]
    },
    {
      "page": "contr_code_difference",
      "title": "Difference code a factor",
      "topics": [
        "contr_code_difference"
      ]
    },
    {
      "page": "contr_code_helmert",
      "title": "Helmert code a factor",
      "topics": [
        "contr_code_helmert"
      ]
    },
    {
      "page": "contr_code_poly",
      "title": "Polynomial code a factor",
      "topics": [
        "contr_code_poly"
      ]
    },
    {
      "page": "contr_code_sum",
      "title": "Sum code a factor",
      "topics": [
        "contr_code_sum"
      ]
    },
    {
      "page": "contr_code_treatment",
      "title": "Treatment code a factor",
      "topics": [
        "contr_code_treatment"
      ]
    },
    {
      "page": "convert_r",
      "title": "Convert r for NORTA",
      "topics": [
        "convert_r"
      ]
    },
    {
      "page": "cormat",
      "title": "Make a correlation matrix",
      "topics": [
        "cormat"
      ]
    },
    {
      "page": "cormat_from_triangle",
      "title": "Make Correlation Matrix from Triangle",
      "topics": [
        "cormat_from_triangle"
      ]
    },
    {
      "page": "distfuncs",
      "title": "Get distribution functions",
      "topics": [
        "distfuncs"
      ]
    },
    {
      "page": "dlikert",
      "title": "Likert density function",
      "topics": [
        "dlikert"
      ]
    },
    {
      "page": "faceratings",
      "title": "Attractiveness ratings of faces",
      "topics": [
        "faceratings"
      ]
    },
    {
      "page": "faux_options",
      "title": "Set/get global faux options",
      "topics": [
        "faux_options"
      ]
    },
    {
      "page": "fh_bounds",
      "title": "Get Fréchet-Hoefding bounds",
      "topics": [
        "fh_bounds"
      ]
    },
    {
      "page": "fix_name_labels",
      "title": "Fix name labels",
      "topics": [
        "fix_name_labels"
      ]
    },
    {
      "page": "fr4",
      "title": "Attractiveness rating subset",
      "topics": [
        "fr4"
      ]
    },
    {
      "page": "gamma2norm",
      "title": "Convert gamma to normal",
      "topics": [
        "gamma2norm"
      ]
    },
    {
      "page": "get_coefs",
      "title": "Get Coefficients from Data",
      "topics": [
        "get_coefs"
      ]
    },
    {
      "page": "get_contrast_vals",
      "title": "Get contrast values",
      "topics": [
        "get_contrast_vals"
      ]
    },
    {
      "page": "get_design",
      "title": "Get design",
      "topics": [
        "get_design"
      ]
    },
    {
      "page": "get_design_long",
      "title": "Get design from long data",
      "topics": [
        "get_design_long"
      ]
    },
    {
      "page": "get_params",
      "title": "Get parameters from a data table",
      "topics": [
        "check_sim_stats",
        "get_params"
      ]
    },
    {
      "page": "getcols",
      "title": "Get data columns",
      "topics": [
        "getcols"
      ]
    },
    {
      "page": "interactive_design",
      "title": "Set design interactively",
      "topics": [
        "interactive_design"
      ]
    },
    {
      "page": "is_pos_def",
      "title": "Check a Matrix is Positive Definite",
      "topics": [
        "is_pos_def"
      ]
    },
    {
      "page": "json_design",
      "title": "Convert design to JSON",
      "topics": [
        "json_design"
      ]
    },
    {
      "page": "long2wide",
      "title": "Convert data from long to wide format",
      "topics": [
        "long2wide"
      ]
    },
    {
      "page": "make_id",
      "title": "Make ID",
      "topics": [
        "make_id"
      ]
    },
    {
      "page": "messy",
      "title": "Simulate missing data",
      "topics": [
        "messy"
      ]
    },
    {
      "page": "nbinom2norm",
      "title": "Convert negative binomial to normal",
      "topics": [
        "nbinom2norm"
      ]
    },
    {
      "page": "nested_list",
      "title": "Output a nested list in RMarkdown list format",
      "topics": [
        "nested_list"
      ]
    },
    {
      "page": "norm2beta",
      "title": "Convert normal to beta",
      "topics": [
        "norm2beta"
      ]
    },
    {
      "page": "norm2binom",
      "title": "Convert normal to binomial",
      "topics": [
        "norm2binom"
      ]
    },
    {
      "page": "norm2gamma",
      "title": "Convert normal to gamma",
      "topics": [
        "norm2gamma"
      ]
    },
    {
      "page": "norm2likert",
      "title": "Convert normal to likert",
      "topics": [
        "norm2likert"
      ]
    },
    {
      "page": "norm2nbinom",
      "title": "Convert normal to negative binomial",
      "topics": [
        "norm2nbinom"
      ]
    },
    {
      "page": "norm2norm",
      "title": "Convert normal to normal",
      "topics": [
        "norm2norm"
      ]
    },
    {
      "page": "norm2pois",
      "title": "Convert normal to poisson",
      "topics": [
        "norm2pois"
      ]
    },
    {
      "page": "norm2trunc",
      "title": "Convert normal to truncated normal",
      "topics": [
        "norm2trunc"
      ]
    },
    {
      "page": "norm2unif",
      "title": "Convert normal to uniform",
      "topics": [
        "norm2unif"
      ]
    },
    {
      "page": "plikert",
      "title": "Likert distribution function",
      "topics": [
        "plikert"
      ]
    },
    {
      "page": "plot_design",
      "title": "Plot design",
      "topics": [
        "plot.design",
        "plot.faux",
        "plot_design"
      ]
    },
    {
      "page": "pos_def_limits",
      "title": "Limits on Missing Value for Positive Definite Matrix",
      "topics": [
        "pos_def_limits"
      ]
    },
    {
      "page": "qlikert",
      "title": "Likert quantile function",
      "topics": [
        "qlikert"
      ]
    },
    {
      "page": "readline_check",
      "title": "Check readline input",
      "topics": [
        "readline_check"
      ]
    },
    {
      "page": "rlikert",
      "title": "Random Likert distribution",
      "topics": [
        "rlikert"
      ]
    },
    {
      "page": "rmulti",
      "title": "Multiple correlated distributions",
      "topics": [
        "rmulti"
      ]
    },
    {
      "page": "rnorm_multi",
      "title": "Multiple correlated normal distributions",
      "topics": [
        "rnorm_multi"
      ]
    },
    {
      "page": "rnorm_pre",
      "title": "Make a normal vector correlated to existing vectors",
      "topics": [
        "rnorm_pre"
      ]
    },
    {
      "page": "sample_from_pop",
      "title": "Sample Parameters from Population Parameters",
      "topics": [
        "sample_from_pop"
      ]
    },
    {
      "page": "set_design",
      "title": "Set design",
      "topics": [
        "set_design"
      ]
    },
    {
      "page": "sim_design",
      "title": "Simulate data from design",
      "topics": [
        "sim_design"
      ]
    },
    {
      "page": "sim_df",
      "title": "Simulate an existing dataframe",
      "topics": [
        "sim_df"
      ]
    },
    {
      "page": "sim_joint_dist",
      "title": "Simulate category joint distribution",
      "topics": [
        "sim_joint_dist"
      ]
    },
    {
      "page": "sim_mixed_cc",
      "title": "Generate a cross-classified sample",
      "topics": [
        "sim_mixed_cc"
      ]
    },
    {
      "page": "sim_mixed_df",
      "title": "Generate a mixed design from existing data",
      "topics": [
        "sim_mixed_df"
      ]
    },
    {
      "page": "std_alpha2average_r",
      "title": "Standardized Alpha to Average R",
      "topics": [
        "std_alpha2average_r"
      ]
    },
    {
      "page": "trunc2norm",
      "title": "Convert truncated normal to normal",
      "topics": [
        "trunc2norm"
      ]
    },
    {
      "page": "unif2norm",
      "title": "Convert uniform to normal",
      "topics": [
        "unif2norm"
      ]
    },
    {
      "page": "unique_pairs",
      "title": "Make unique pairs of level names for correlations",
      "topics": [
        "unique_pairs"
      ]
    },
    {
      "page": "wide2long",
      "title": "Convert data from wide to long format",
      "topics": [
        "wide2long"
      ]
    }
  ],
  "_pkglogo": "https://github.com/scienceverse/faux/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/scienceverse/faux/raw/HEAD/README.md",
  "_rundeps": [
    "boot",
    "cli",
    "cpp11",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "jsonlite",
    "labeling",
    "lattice",
    "lifecycle",
    "lme4",
    "magrittr",
    "MASS",
    "Matrix",
    "minqa",
    "nlme",
    "nloptr",
    "pillar",
    "pkgconfig",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "rlang",
    "S7",
    "scales",
    "tibble",
    "tidyselect",
    "truncnorm",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "sim_design.Rmd",
      "filename": "sim_design.html",
      "title": "Simulate by Design",
      "author": "Lisa DeBruine",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Quick example",
        "Specification of design parameters",
        "Factor and level names",
        "Anonymous",
        "List of vectors",
        "Levels with underscores",
        "List of named vectors/lists",
        "Factor labels",
        "Specifying N",
        "Single number",
        "Named list",
        "Dataframe",
        "Mu and SD",
        "Unnamed vector",
        "Named list of named vectors",
        "Correlations",
        "Upper right triangle",
        "Correlation matrix",
        "Empirical",
        "More factors",
        "Multiple datasets",
        "rep argument",
        "Unnested reps",
        "Simulate by design"
      ],
      "created": "2019-04-29 15:14:27",
      "modified": "2023-07-07 16:59:24",
      "commits": 17
    }
  ],
  "_score": 9.475217961272717,
  "_indexed": true,
  "_nocasepkg": "faux",
  "_universes": [
    "scienceverse",
    "debruine"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.2.4",
      "date": "2026-05-16T08:33:43.000Z",
      "distro": "noble",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "e859402d2c747c7295099018ad5b423bc0ea24a17be1a3ac5289523055d85a39",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.2.4",
      "date": "2026-05-16T08:33:07.000Z",
      "distro": "noble",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "e32e2571c2ce90c872c0a9f6be63e888b2c6867553a3365c1491910bbff7abf2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.2.4",
      "date": "2026-05-16T08:33:36.000Z",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "f3e42791bd598e1e46b2957778c5cabf1e09073a51b81ad6def65eb08eb688da",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.2.4",
      "date": "2026-05-16T08:32:46.000Z",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "a616bf967d75f75bed45cf3fb478cefa5d1b29b6897db5a840abc8b3a158bb4e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.2.4",
      "date": "2026-05-16T08:32:52.000Z",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "1d41691687a778cb1853f3c8429eea7272b37986b423cc1f6e4cd7739f1658a0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.2.4",
      "date": "2026-05-16T08:33:44.000Z",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "1686cc600c3024d2a0899e79f32cc4a273231e1de64c1eadab9ef0416775041e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.2.4",
      "date": "2026-05-16T08:32:39.000Z",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "4c492dc6157dc5f5a084cdc14b15345c268c50de9b74df73a2bb177af19c0089",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.2.4",
      "date": "2026-06-02T18:16:09.000Z",
      "commit": "cda6d10d350e8703aa29c3e0204af3eee0aae1ef",
      "fileid": "e6b182092627277af08fa7dfb2ac5c6e477f4f450600282906bf417ffed1185d",
      "status": "success",
      "buildurl": "https://github.com/r-universe/scienceverse/actions/runs/25957295740"
    }
  ]
}