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
