Files in 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.

DESCRIPTION
LICENSE
NAMESPACE
R/CaretModel.R R/CoxModel.R R/GlmnetModel.R R/LinearModel.R R/MostCorrelatedFeatures.R R/PredictiveModel.R R/PredictiveModelFeatureEvaluator.R R/PredictiveModelPerformance.R R/PredictiveModelResults.R R/RSFmodel.R R/SurvivalModelPerformance.R R/SurvivalModelPerformanceCV.R R/convertDataFrameToFeatureMatrix.R R/createAggregateFeatureDataSet.R R/createENetTuneGrid.R R/createFeatureAndResponseDataList.R R/crossValidatePredictiveModel.R R/crossValidatePredictiveSurvivalModel.R R/defaultTrainControl.R R/exactConcordanceIndex.R R/exactConcordanceIndexV.R R/filterNasFromMatrix.R R/filterPredictiveModelData.R R/jet.colors.R R/plotPredictiveModelHeatmap.R R/testPackage.R R/trainPartition.R R/zzz.R README.md
data/datalist
data/demoData.rda
data/unitTest_plot.jpg
demo/00Index
demo/customModelsInCaret.R
inst/._.DS_Store
inst/CITATION
inst/PLX4720_ElasticNetModel.jpg
inst/PLX4720_MostCorrModel.jpg
inst/doc/PackageBasics.Rnw
inst/doc/PackageBasics.pdf inst/integrationTests/test_aggregateFeatureData.R inst/predictiveModelingDemo-009.pdf inst/predictiveModelingDemo-011.pdf inst/predictiveModelingDemo-015.pdf inst/predictiveModelingDemo-016.pdf inst/predictiveModelingDemo-017.pdf inst/predictiveModelingDemo-020.pdf inst/predictiveModelingDemo-boxplot_eNet_vs_eNetLowLambda.pdf inst/predictiveModelingDemo-boxplot_eNet_vs_eNetLowLambda_vs_mostCorrFeatures.pdf inst/predictiveModelingDemo-brafMutBoxplot.pdf inst/predictiveModelingDemo-crossValidateElasticNet.pdf inst/predictiveModelingDemo-evaluateElasticNetTuningParameter.pdf inst/predictiveModelingDemo-plotElasticNetPredAndObs.pdf inst/predictiveModelingDemo-plotMostCorrFeaturesModelPredAndObs.pdf inst/predictiveModelingDemo.R
inst/predictiveModelingDemo.Rnw
inst/predictiveModelingDemo.aux
inst/predictiveModelingDemo.log
inst/predictiveModelingDemo.out
inst/predictiveModelingDemo.pdf
inst/predictiveModelingDemo.tex
inst/predictiveModelingEliasDemo.Rnw
inst/synapseScreenshots/Datasets.png
inst/synapseScreenshots/Register.png
inst/synapseScreenshots/Sharing.png
inst/unitTests/test_DataWrangling.R inst/unitTests/test_demo.R inst/unitTests/test_metabric.R man/CaretModel.Rd man/CoxModel.Rd man/GlmnetModel.Rd man/LinearModel.Rd man/MostCorrelatedFeatures.Rd man/PredictiveModel.Rd man/PredictiveModelFeatureEvaluator.Rd man/PredictiveModelPerformance.Rd man/PredictiveModelResults.Rd man/RSFmodel.Rd man/SurvivalModelPerformance.Rd man/SurvivalModelPerformanceCV.Rd man/convertDataFrameToFeatureMatrix.Rd man/createAggregateFeatureDataSet.Rd man/createENetTuneGrid.Rd man/createFeatureAndResponseDataList.Rd man/crossValidatePredictiveModel.Rd man/crossValidatePredictiveSurvivalModel.Rd man/defaultTrainControl.Rd man/exactConcordanceIndex.Rd man/filterNasFromMatrix.Rd man/filterPredictiveModelData.Rd man/plotPredictiveModelHeatmap.Rd man/trainPartition.Rd tests/runUnitTestSuite.R
Sage-Bionetworks/predictiveModeling documentation built on May 9, 2019, 12:12 p.m.