Man pages for Sage-Bionetworks/predictiveModeling
The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

CaretModelCaretModel
convertDataFrameToFeatureMatrixconvertDataFrameToFeatureMatrix
CoxModelCoxModel
createAggregateFeatureDataSetcreateAggregateFeatureDataSet
createENetTuneGridcreateENetTuneGrid
createFeatureAndResponseDataListcreateFeatureAndResponseDataList
crossValidatePredictiveModelPerform cross validation on a preditive model, this method...
crossValidatePredictiveSurvivalModelPerform cross validation on a preditive model, this model...
defaultTrainControlCreate a default trControl object for use with caret
exactConcordanceIndexCompute the exact value of concordance index
filterNasFromMatrixremoves rows and or columns from a matrix that contain NA...
filterPredictiveModelDatafilterPredictiveModelData filters
GlmnetModelGlmnetModel
LinearModelLinearModel
MostCorrelatedFeaturesMostCorrelatedFeatures
plotPredictiveModelHeatmapPlot a heatmap displaying predictive features selected by a...
PredictiveModelPredictiveModel
PredictiveModelFeatureEvaluatorPredictiveModelFeatureEvaluator
PredictiveModelPerformancePredictiveModelPerformance
PredictiveModelResultsPredictiveModelResults
RSFmodelRSFmodel
SurvivalModelPerformanceSurvivalModelPerformance
SurvivalModelPerformanceCVSurvivalModelPerformanceCV
trainPartitionPerform one iteration of model training on a portion of the...
Sage-Bionetworks/predictiveModeling documentation built on May 9, 2019, 12:12 p.m.