{
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  "Package": "CausalR",
  "Type": "Package",
  "Title": "Causal network analysis methods",
  "Version": "1.44.0",
  "Date": "2016-11-14",
  "Author": "Glyn Bradley, Steven Barrett, Chirag Mistry, Mark Pipe, David\nWille, David Riley, Bhushan Bonde, Peter Woollard",
  "Maintainer": "Glyn Bradley <glyn.x.bradley@gsk.com>, Steven Barrett\n<steven.j.barrett@gsk.com>",
  "Description": "Causal network analysis methods for regulator prediction\nand network reconstruction from genome scale data.",
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  "biocViews": "ImmunoOncology, SystemsBiology, Network, GraphAndNetwork,\nNetwork Inference, Transcriptomics, Proteomics,\nDifferentialExpression, RNASeq, Microarray",
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  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 12:41:21 UTC",
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    "network",
    "graphandnetwork",
    "network inference",
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    "proteomics",
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    "rnaseq",
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  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
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    "extra/citation.txt",
    "extra/contents.json",
    "manual.pdf"
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  "_realowner": "bioc",
  "_cranurl": false,
  "_exports": [
    "AnalysePredictionsList",
    "CalculateEnrichmentPValue",
    "CalculateSignificance",
    "CalculateSignificanceUsingCubicAlgorithm",
    "CalculateSignificanceUsingCubicAlgorithm1b",
    "CalculateSignificanceUsingQuarticAlgorithm",
    "CompareHypothesis",
    "CreateCCG",
    "CreateCG",
    "GetNodeName",
    "GetNumberOfPositiveAndNegativeEntries",
    "GetShortestPathsFromCCG",
    "MakePredictions",
    "MakePredictionsFromCCG",
    "MakePredictionsFromCG",
    "PlotGraphWithNodeNames",
    "RankTheHypotheses",
    "ReadExperimentalData",
    "runSCANR",
    "ScoreHypothesis",
    "WriteAllExplainedNodesToSifFile",
    "WriteExplainedNodesToSifFile"
  ],
  "_help": [
    {
      "page": "CausalR-package",
      "title": "The CausalR package",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CausalR-package",
        "CausalR"
      ]
    },
    {
      "page": "AddIDsToVertices",
      "title": "add IDs to vertices",
      "topics": [
        "AddIDsToVertices"
      ]
    },
    {
      "page": "AddWeightsToEdges",
      "title": "add weights to edges",
      "topics": [
        "AddWeightsToEdges"
      ]
    },
    {
      "page": "AnalyseExperimentalData",
      "title": "analyse experimental data",
      "topics": [
        "AnalyseExperimentalData"
      ]
    },
    {
      "page": "AnalysePredictionsList",
      "title": "analyse predictions list",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "AnalysePredictionsList"
      ]
    },
    {
      "page": "CalculateEnrichmentPValue",
      "title": "calculates an enrichment p-value",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CalculateEnrichmentPValue"
      ]
    },
    {
      "page": "CalculateSignificance",
      "title": "calculate overall significance p-value",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CalculateSignificance"
      ]
    },
    {
      "page": "CalculateSignificanceUsingCubicAlgorithm",
      "title": "calculate significance using the cubic algorithm",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CalculateSignificanceUsingCubicAlgorithm"
      ]
    },
    {
      "page": "CalculateSignificanceUsingCubicAlgorithm1b",
      "title": "Calculate Significance Using Cubic Algorithm",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CalculateSignificanceUsingCubicAlgorithm1b"
      ]
    },
    {
      "page": "CalculateSignificanceUsingQuarticAlgorithm",
      "title": "calculate significance using the quartic algorithm",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CalculateSignificanceUsingQuarticAlgorithm"
      ]
    },
    {
      "page": "CalculateTotalWeightForAllContingencyTables",
      "title": "calculate total weight for all contingency tables",
      "topics": [
        "CalculateTotalWeightForAllContingencyTables"
      ]
    },
    {
      "page": "CalculateWeightGivenValuesInThreeByThreeContingencyTable",
      "title": "calculate weight given values in three-by-three contingency table",
      "topics": [
        "CalculateWeightGivenValuesInThreeByThreeContingencyTable"
      ]
    },
    {
      "page": "CheckPossibleValuesAreValid",
      "title": "check possible values are valid",
      "topics": [
        "CheckPossibleValuesAreValid"
      ]
    },
    {
      "page": "CheckRowAndColumnSumValuesAreValid",
      "title": "check row and column sum values are valid",
      "topics": [
        "CheckRowAndColumnSumValuesAreValid"
      ]
    },
    {
      "page": "CompareHypothesis",
      "title": "compare hypothesis",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CompareHypothesis"
      ]
    },
    {
      "page": "ComputeFinalDistribution",
      "title": "compute final distribution",
      "topics": [
        "ComputeFinalDistribution"
      ]
    },
    {
      "page": "ComputePValueFromDistributionTable",
      "title": "compute a p-value from the distribution table",
      "topics": [
        "ComputePValueFromDistributionTable"
      ]
    },
    {
      "page": "CreateCCG",
      "title": "create a Computational Causal Graph (CCG)",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CreateCCG"
      ]
    },
    {
      "page": "CreateCG",
      "title": "create a Computational Graph (CG)",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "CreateCG"
      ]
    },
    {
      "page": "CreateNetworkFromTable",
      "title": "create network from table",
      "topics": [
        "CreateNetworkFromTable"
      ]
    },
    {
      "page": "DetermineInteractionTypeOfPath",
      "title": "determine interaction type of path",
      "topics": [
        "DetermineInteractionTypeOfPath"
      ]
    },
    {
      "page": "FindApproximateValuesThatWillMaximiseDValue",
      "title": "find approximate values that will maximise D value",
      "topics": [
        "FindApproximateValuesThatWillMaximiseDValue"
      ]
    },
    {
      "page": "FindIdsOfConnectedNodesInSubgraph",
      "title": "find Ids of connected nodes in subgraph",
      "topics": [
        "FindIdsOfConnectedNodesInSubgraph"
      ]
    },
    {
      "page": "FindMaximumDValue",
      "title": "find maximum D value",
      "topics": [
        "FindMaximumDValue"
      ]
    },
    {
      "page": "GetAllPossibleRoundingCombinations",
      "title": "get score for numbers of correct and incorrect predictions",
      "topics": [
        "GetAllPossibleRoundingCombinations"
      ]
    },
    {
      "page": "GetApproximateMaximumDValueFromThreeByTwoContingencyTable",
      "title": "returns approximate maximum D value or weight for a 3x2 superfamily",
      "topics": [
        "GetApproximateMaximumDValueFromThreeByTwoContingencyTable"
      ]
    },
    {
      "page": "GetApproximateMaximumDValueFromTwoByTwoContingencyTable",
      "title": "computes an approximate maximum D value or weight",
      "topics": [
        "GetApproximateMaximumDValueFromTwoByTwoContingencyTable"
      ]
    },
    {
      "page": "GetCombinationsOfCorrectandIncorrectPredictions",
      "title": "returns table of correct and incorrect predictions",
      "topics": [
        "GetCombinationsOfCorrectandIncorrectPredictions"
      ]
    },
    {
      "page": "GetExplainedNodesOfCCG",
      "title": "Get explained nodes of CCG",
      "topics": [
        "GetExplainedNodesOfCCG"
      ]
    },
    {
      "page": "GetInteractionInformation",
      "title": "returns interaction information from input data",
      "topics": [
        "GetInteractionInformation"
      ]
    },
    {
      "page": "GetMatrixOfCausalRelationships",
      "title": "compute causal relationships matrix",
      "topics": [
        "GetMatrixOfCausalRelationships"
      ]
    },
    {
      "page": "GetMaxDValueForAFamily",
      "title": "get maximun D value for a family",
      "topics": [
        "GetMaxDValueForAFamily"
      ]
    },
    {
      "page": "GetMaxDValueForAThreeByTwoFamily",
      "title": "get maximum D value for three-by-two a family",
      "topics": [
        "GetMaxDValueForAThreeByTwoFamily"
      ]
    },
    {
      "page": "GetMaximumDValueFromTwoByTwoContingencyTable",
      "title": "get maximum D value from two-by-two contingency table",
      "topics": [
        "GetMaximumDValueFromTwoByTwoContingencyTable"
      ]
    },
    {
      "page": "GetNodeID",
      "title": "get CCG node ID",
      "topics": [
        "GetNodeID"
      ]
    },
    {
      "page": "GetNodeName",
      "title": "get node name",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "GetNodeName"
      ]
    },
    {
      "page": "GetNumberOfPositiveAndNegativeEntries",
      "title": "counts the number of positive and negative entries",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "GetNumberOfPositiveAndNegativeEntries"
      ]
    },
    {
      "page": "GetPathsInSifFormat",
      "title": "Get paths in Sif format",
      "topics": [
        "GetPathsInSifFormat"
      ]
    },
    {
      "page": "GetRegulatedNodes",
      "title": "get regulated nodes",
      "topics": [
        "GetRegulatedNodes"
      ]
    },
    {
      "page": "GetRowAndColumnSumValues",
      "title": "get row and column sum values",
      "topics": [
        "GetRowAndColumnSumValues"
      ]
    },
    {
      "page": "GetScoreForNumbersOfCorrectandIncorrectPredictions",
      "title": "returns the score for a given number of correct and incorrect predictions",
      "topics": [
        "GetScoreForNumbersOfCorrectandIncorrectPredictions"
      ]
    },
    {
      "page": "GetScoresForSingleNode",
      "title": "Get scores for single node",
      "topics": [
        "GetScoresForSingleNode"
      ]
    },
    {
      "page": "GetScoresWeightsMatrix",
      "title": "get scores weight matrix",
      "topics": [
        "GetScoresWeightsMatrix"
      ]
    },
    {
      "page": "GetScoresWeightsMatrixByCubicAlg",
      "title": "get scores weights matrix by the cubic algorithm",
      "topics": [
        "GetScoresWeightsMatrixByCubicAlg"
      ]
    },
    {
      "page": "GetSetOfDifferentiallyExpressedGenes",
      "title": "get set of differientially expressed genes",
      "topics": [
        "GetSetOfDifferentiallyExpressedGenes"
      ]
    },
    {
      "page": "GetSetOfSignificantPredictions",
      "title": "get set of significant predictions",
      "topics": [
        "GetSetOfSignificantPredictions"
      ]
    },
    {
      "page": "GetShortestPathsFromCCG",
      "title": "get shortest paths from CCG",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "GetShortestPathsFromCCG"
      ]
    },
    {
      "page": "GetWeightForNumbersOfCorrectandIncorrectPredictions",
      "title": "get weight for numbers of correct and incorrect predictions",
      "topics": [
        "GetWeightForNumbersOfCorrectandIncorrectPredictions"
      ]
    },
    {
      "page": "GetWeightsAboveHypothesisScoreAndTotalWeights",
      "title": "get weights above hypothesis score and total weights",
      "topics": [
        "GetWeightsAboveHypothesisScoreAndTotalWeights"
      ]
    },
    {
      "page": "GetWeightsAboveHypothesisScoreForAThreeByTwoTable",
      "title": "updates weights for contingency table and produce values for p-value calculation",
      "topics": [
        "GetWeightsAboveHypothesisScoreForAThreeByTwoTable"
      ]
    },
    {
      "page": "GetWeightsFromInteractionInformation",
      "title": "get weights from interaction information",
      "topics": [
        "GetWeightsFromInteractionInformation"
      ]
    },
    {
      "page": "MakePredictions",
      "title": "make predictions",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "MakePredictions"
      ]
    },
    {
      "page": "MakePredictionsFromCCG",
      "title": "make predictions from CCG",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "MakePredictionsFromCCG"
      ]
    },
    {
      "page": "MakePredictionsFromCG",
      "title": "make predictions from CG",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "MakePredictionsFromCG"
      ]
    },
    {
      "page": "OrderHypotheses",
      "title": "order hypotheses",
      "topics": [
        "OrderHypotheses"
      ]
    },
    {
      "page": "PlotGraphWithNodeNames",
      "title": "plot graph with node names",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "PlotGraphWithNodeNames"
      ]
    },
    {
      "page": "PopulateTheThreeByThreeContingencyTable",
      "title": "populate the three-by-three contingency table",
      "topics": [
        "PopulateTheThreeByThreeContingencyTable"
      ]
    },
    {
      "page": "PopulateTwoByTwoContingencyTable",
      "title": "Populate Two by Two Contingency Table",
      "topics": [
        "PopulateTwoByTwoContingencyTable"
      ]
    },
    {
      "page": "ProcessExperimentalData",
      "title": "process experimental data",
      "topics": [
        "ProcessExperimentalData"
      ]
    },
    {
      "page": "RankTheHypotheses",
      "title": "rank the hypotheses",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "RankTheHypotheses"
      ]
    },
    {
      "page": "ReadExperimentalData",
      "title": "read experimental data",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "ReadExperimentalData"
      ]
    },
    {
      "page": "ReadSifFileToTable",
      "title": "read .sif to Table",
      "topics": [
        "ReadSifFileToTable"
      ]
    },
    {
      "page": "RemoveIDsNotInExperimentalData",
      "title": "remove IDs not in experimental data",
      "topics": [
        "RemoveIDsNotInExperimentalData"
      ]
    },
    {
      "page": "runRankHypothesis",
      "title": "run rank the hypothesis",
      "topics": [
        "runRankHypothesis"
      ]
    },
    {
      "page": "runSCANR",
      "title": "run ScanR",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "runSCANR"
      ]
    },
    {
      "page": "ScoreHypothesis",
      "title": "score hypothesis",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "ScoreHypothesis"
      ]
    },
    {
      "page": "ValidateFormatOfDataTable",
      "title": "validate format of the experimental data table",
      "topics": [
        "ValidateFormatOfDataTable"
      ]
    },
    {
      "page": "ValidateFormatOfTable",
      "title": "validate format of table",
      "topics": [
        "ValidateFormatOfTable"
      ]
    },
    {
      "page": "WriteAllExplainedNodesToSifFile",
      "title": "Write all explained nodes to Sif file",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "WriteAllExplainedNodesToSifFile"
      ]
    },
    {
      "page": "WriteExplainedNodesToSifFile",
      "title": "Write explained nodes to Sif file",
      "concept": [
        "CausalR"
      ],
      "topics": [
        "WriteExplainedNodesToSifFile"
      ]
    }
  ],
  "_rundeps": [
    "cli",
    "cpp11",
    "glue",
    "igraph",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "pkgconfig",
    "rlang",
    "vctrs"
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  "_vignettes": [
    {
      "source": "CausalR.rnw",
      "filename": "CausalR.pdf",
      "title": "CausalR : an R Package for causal reasoning on networks",
      "engine": "knitr::knitr",
      "headings": [],
      "created": "2016-11-16 14:54:56",
      "modified": "2016-11-16 14:54:56",
      "commits": 1
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  "_nocasepkg": "causalr",
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  "_indexurl": "https://bioc.r-universe.dev/CausalR",
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