{
  "_id": "6a117705acfb0bcc41cf955a",
  "Package": "aslib",
  "Title": "Interface to the Algorithm Selection Benchmark Library",
  "Description": "Provides an interface to the algorithm selection benchmark\nlibrary at <https://www.coseal.net/aslib/> and the 'LLAMA'\npackage (<https://cran.r-project.org/package=llama>) for\nbuilding algorithm selection models; see Bischl et al. (2016)\n<doi:10.1016/j.artint.2016.04.003>.",
  "Authors@R": "c(person(given = \"Bernd\",\nfamily = \"Bischl\",\nrole = \"aut\",\nemail = \"bernd_bischl@gmx.net\"),\nperson(given = \"Lars\",\nfamily = \"Kotthoff\",\nrole = c(\"aut\", \"cre\"),\nemail = \"larsko@uwyo.edu\"),\nperson(given = \"Pascal\",\nfamily = \"Kerschke\",\nrole = c(\"ctb\", \"aut\"),\nemail = \"kerschke@uni-muenster.de\"),\nperson(given = \"Damir\",\nfamily = \"Pulatov\",\nrole = c(\"ctb\", \"aut\"),\nemail = \"damirpolat@protonmail.com\"))",
  "Maintainer": "Lars Kotthoff <larsko@uwyo.edu>",
  "URL": "https://github.com/coseal/aslib-r/",
  "BugReports": "https://github.com/coseal/aslib-r/issues",
  "License": "GPL-3",
  "ByteCompile": "yes",
  "Encoding": "UTF-8",
  "Version": "0.1.3",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-23 09:40:17 UTC",
    "User": "root"
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  "Author": "Bernd Bischl [aut], Lars Kotthoff [aut, cre], Pascal Kerschke\n[ctb, aut], Damir Pulatov [ctb, aut]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-08-19 17:40:02 UTC",
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      "date": "2022-08-25"
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    "checkDuplicatedInstances",
    "convertAlgoPerfToWideFormat",
    "convertToLlama",
    "convertToLlamaCVFolds",
    "createCVSplits",
    "findDominatedAlgos",
    "fixFeckingPresolve",
    "getAlgorithmNames",
    "getCosealASScenario",
    "getCostsAndPresolvedStatus",
    "getDefaultFeatureStepNames",
    "getFeatureNames",
    "getFeatureStepNames",
    "getInstanceNames",
    "getNumberOfCVFolds",
    "getNumberOfCVReps",
    "getProvidedFeatures",
    "getSummedFeatureCosts",
    "imputeAlgoPerf",
    "parseASScenario",
    "plotAlgoCorMatrix",
    "plotAlgoPerfBoxplots",
    "plotAlgoPerfCDFs",
    "plotAlgoPerfDensities",
    "plotAlgoPerfScatterMatrix",
    "runLlamaModels",
    "summarizeAlgoPerf",
    "summarizeAlgoRunstatus",
    "summarizeFeatureSteps",
    "summarizeFeatureValues",
    "summarizeLlamaExps",
    "writeASScenario"
  ],
  "_help": [
    {
      "page": "ASScenarioDesc",
      "title": "S3 class for ASScenarioDesc.",
      "topics": [
        "ASScenarioDesc"
      ]
    },
    {
      "page": "checkDuplicatedInstances",
      "title": "Checks the feature data set for duplicated instances.",
      "topics": [
        "checkDuplicatedInstances"
      ]
    },
    {
      "page": "convertAlgoPerfToWideFormat",
      "title": "Converts 'algo.runs' object of a scenario to wide format.",
      "topics": [
        "convertAlgoPerfToWideFormat"
      ]
    },
    {
      "page": "convertToLlama",
      "title": "Convert an ASScenario scenario object to a llama data object.",
      "topics": [
        "convertToLlama"
      ]
    },
    {
      "page": "convertToLlamaCVFolds",
      "title": "Convert an ASScenario scenario object to a llama data object with cross-validation folds.",
      "topics": [
        "convertToLlamaCVFolds"
      ]
    },
    {
      "page": "createCVSplits",
      "title": "Create cross-validation splits for a scenario.",
      "topics": [
        "createCVSplits"
      ]
    },
    {
      "page": "findDominatedAlgos",
      "title": "Creates a table that shows the dominance of one algorithm over another one.",
      "topics": [
        "findDominatedAlgos"
      ]
    },
    {
      "page": "fixFeckingPresolve",
      "title": "Bakes presolving stuff into a LLAMA data frame.",
      "topics": [
        "fixFeckingPresolve"
      ]
    },
    {
      "page": "getAlgorithmNames",
      "title": "Returns algorithm names of scenario.",
      "topics": [
        "getAlgorithmNames"
      ]
    },
    {
      "page": "getCosealASScenario",
      "title": "Retrieves a scenario from the Coseal Github repository and parses into an S3 object.",
      "topics": [
        "getCosealASScenario"
      ]
    },
    {
      "page": "getCostsAndPresolvedStatus",
      "title": "Return whether an instance was presolved and which step did it.",
      "topics": [
        "getCostsAndPresolvedStatus"
      ]
    },
    {
      "page": "getDefaultFeatureStepNames",
      "title": "Returns the default feature step names of scenario.",
      "topics": [
        "getDefaultFeatureStepNames"
      ]
    },
    {
      "page": "getFeatureNames",
      "title": "Returns feature names of scenario.",
      "topics": [
        "getFeatureNames"
      ]
    },
    {
      "page": "getFeatureStepNames",
      "title": "Returns feature step names of scenario.",
      "topics": [
        "getFeatureStepNames"
      ]
    },
    {
      "page": "getInstanceNames",
      "title": "Returns instance names of scenario.",
      "topics": [
        "getInstanceNames"
      ]
    },
    {
      "page": "getNumberOfCVFolds",
      "title": "Returns number of CV folds.",
      "topics": [
        "getNumberOfCVFolds"
      ]
    },
    {
      "page": "getNumberOfCVReps",
      "title": "Returns number of CV repetitions.",
      "topics": [
        "getNumberOfCVReps"
      ]
    },
    {
      "page": "getProvidedFeatures",
      "title": "Return features that are useable for a given set of feature steps.",
      "topics": [
        "getProvidedFeatures"
      ]
    },
    {
      "page": "getSummedFeatureCosts",
      "title": "Returns feature costs of scenario, summed over all instances.",
      "topics": [
        "getSummedFeatureCosts"
      ]
    },
    {
      "page": "imputeAlgoPerf",
      "title": "Imputes algorithm performance for runs which have NA performance values.",
      "topics": [
        "imputeAlgoPerf"
      ]
    },
    {
      "page": "parseASScenario",
      "title": "Parses the data files of an algorithm selection scenario into an S3 object.",
      "topics": [
        "ASScenario",
        "parseASScenario"
      ]
    },
    {
      "page": "plotAlgoCorMatrix",
      "title": "Plots the correlation matrix of the algorithms.",
      "topics": [
        "plotAlgoCorMatrix"
      ]
    },
    {
      "page": "plotAlgoPerf",
      "title": "EDA plots for performance values of algorithms across all instances.",
      "topics": [
        "plotAlgoPerf",
        "plotAlgoPerfBoxplots",
        "plotAlgoPerfCDFs",
        "plotAlgoPerfDensities",
        "plotAlgoPerfScatterMatrix"
      ]
    },
    {
      "page": "runLlamaModels",
      "title": "Creates a registry which can be used for running several Llama models on a cluster.",
      "topics": [
        "runLlamaModels"
      ]
    },
    {
      "page": "summarizeAlgoPerf",
      "title": "Creates summary data.frame for algorithm performance values across all instances.",
      "topics": [
        "summarizeAlgoPerf"
      ]
    },
    {
      "page": "summarizeAlgoRunstatus",
      "title": "Creates summary data.frame for algorithm runstatus across all instances.",
      "topics": [
        "summarizeAlgoRunstatus"
      ]
    },
    {
      "page": "summarizeFeatureSteps",
      "title": "Creates a data.frame that summarizes the feature steps.",
      "topics": [
        "summarizeFeatureSteps"
      ]
    },
    {
      "page": "summarizeFeatureValues",
      "title": "Creates summary data.frame for feature values across all instances.",
      "topics": [
        "summarizeFeatureValues"
      ]
    },
    {
      "page": "summarizeLlamaExps",
      "title": "Creates summary data.table for runLlamaModel experiments.",
      "topics": [
        "summarizeLlamaExps"
      ]
    },
    {
      "page": "writeASScenario",
      "title": "Writes an algorithm selection scenario to a directory.",
      "topics": [
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      ]
    }
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