Joel Therrien
fdc708dad5
Add support for making predictions without specifying training data Add support for adding trees to an existing forest Add support for toggling displayProgress Also reduced the size of the package by removing some unused dependency classes.
38 lines
1.2 KiB
Text
38 lines
1.2 KiB
Text
# Generated by roxygen2: do not edit by hand
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S3method(extractCHF,CompetingRiskFunctions)
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S3method(extractCHF,CompetingRiskFunctions.List)
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S3method(extractCIF,CompetingRiskFunctions)
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S3method(extractCIF,CompetingRiskFunctions.List)
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S3method(extractMortalities,CompetingRiskFunctions)
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S3method(extractMortalities,CompetingRiskFunctions.List)
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S3method(extractSurvivorCurve,CompetingRiskFunctions)
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S3method(extractSurvivorCurve,CompetingRiskFunctions.List)
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S3method(plot,JMatrixPlottable)
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S3method(predict,JRandomForest)
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S3method(print,CompetingRiskFunctions)
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S3method(print,CompetingRiskFunctions.List)
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S3method(print,JRandomForest)
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S3method(print,ResponseCombiner)
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S3method(print,SplitFinder)
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S3method(train,default)
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S3method(train,formula)
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export(CR_FunctionCombiner)
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export(CR_Response)
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export(CR_ResponseCombiner)
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export(GrayLogRankSplitFinder)
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export(LogRankSplitFinder)
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export(MeanResponseCombiner)
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export(Numeric)
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export(WeightedVarianceSplitFinder)
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export(addTrees)
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export(connectToData)
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export(extractCHF)
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export(extractCIF)
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export(extractMortalities)
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export(extractSurvivorCurve)
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export(loadForest)
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export(naiveConcordance)
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export(saveForest)
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export(train)
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import(rJava)
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