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  "Title": "Reconstructing Reproducible R Computational Environments",
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  "Description": "Resolve the dependency graph of R packages at a specific\ntime point based on the information from various 'R-hub' web\nservices <https://blog.r-hub.io/>. The dependency graph can\nthen be used to reconstruct the R computational environment\nwith 'Rocker' <https://rocker-project.org>.",
  "License": "GPL (>= 3)",
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  "URL": "https://gesistsa.github.io/rang, https://github.com/gesistsa/rang",
  "BugReports": "https://github.com/gesistsa/rang/issues",
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  "Date/Publication": "2025-09-15 14:23:36 UTC",
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    },
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      "date": "2023-08-09"
    },
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      "version": "0.3.0",
      "date": "2023-10-08"
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    "apptainerise_rang",
    "apptainerize",
    "apptainerize_rang",
    "as_pkgrefs",
    "convert_edgelist",
    "create_turing",
    "dockerise",
    "dockerise_rang",
    "dockerize",
    "dockerize_rang",
    "export_rang",
    "export_renv",
    "generate_installation_order",
    "query_sysreqs",
    "resolve",
    "singularise",
    "singularise_rang",
    "singularize",
    "singularize_rang",
    "use_rang"
  ],
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      "title": "Recipes for Building Container Images",
      "object": "recipes",
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        "list"
      ],
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      "table": true,
      "tojson": true
    }
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      "title": "Create an Apptainer/Singularity Definition File of The Resolved Result",
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        "apptainerise",
        "apptainerise_rang",
        "apptainerize",
        "apptainerize_rang",
        "singularise",
        "singularise_rang",
        "singularize",
        "singularize_rang"
      ]
    },
    {
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      "title": "Convert Data Structures into Package References",
      "topics": [
        "as_pkgrefs",
        "as_pkgrefs.character",
        "as_pkgrefs.default",
        "as_pkgrefs.sessionInfo"
      ]
    },
    {
      "page": "convert_edgelist",
      "title": "Convert Data Structures to rang edgelist",
      "topics": [
        "convert_edgelist",
        "convert_edgelist.default",
        "convert_edgelist.rang",
        "convert_edgelist.ranglet"
      ]
    },
    {
      "page": "create_turing",
      "title": "Create executable research compendium according to the Turing Way",
      "topics": [
        "create_turing"
      ]
    },
    {
      "page": "dockerize",
      "title": "Dockerize The Resolved Result",
      "topics": [
        "dockerise",
        "dockerise_rang",
        "dockerize",
        "dockerize_rang"
      ]
    },
    {
      "page": "export_rang",
      "title": "Export The Resolved Result As Installation Script",
      "topics": [
        "export_rang"
      ]
    },
    {
      "page": "export_renv",
      "title": "Export The Resolved Result As a renv Lockfile",
      "topics": [
        "export_renv"
      ]
    },
    {
      "page": "generate_installation_order",
      "title": "Create a Data Frame of The Resolved Result This function exports the results from 'resolve()' to a data frame, which each row represents one installation step. The order of rows is the installation order. By installing packages in the specified order, one can install all the resolved packages without conflicts.",
      "topics": [
        "generate_installation_order"
      ]
    },
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      "topics": [
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      ]
    },
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      "topics": [
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      ]
    },
    {
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      "title": "Resolve Dependencies Of R Packages",
      "topics": [
        "resolve"
      ]
    },
    {
      "page": "use_rang",
      "title": "Setup rang for a directory",
      "topics": [
        "use_rang"
      ]
    }
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    "rlang",
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      "engine": "knitr::rmarkdown",
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        "Other ideas",
        "Case 2: Enhance an existing research compendium",
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        "Docker questions",
        "Apptainer/Singularity questions"
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