API for OHDSI/PatientLevelPrediction
Package for patient level prediction using data in the OMOP Common Data Model

Global functions
MapCovariates Source code
PatientLevelPrediction Man page
PatientLevelPrediction-package Man page
accuracy Man page Source code
any.ff Source code
applyEnsembleModel Man page Source code
applyModel Man page Source code
applyTidyCovariateData Source code
aucWithCi Source code
aucWithoutCi Source code
averagePrecision Man page Source code
brierScore Man page Source code
buildVae Source code
byMax Source code
bySum Source code
bySumFf Man page Source code
calculatePrevs Source code
calibrationLine Man page Source code
characterize Source code
checkBoolean Source code
checkHigher Source code
checkHigherEqual Source code
checkInStringVector Source code
checkIsClass Source code
checkLower Source code
checkLowerEqual Source code
checkNotNull Source code
checkPlpInstallation Man page Source code
checkPython Source code
checkffFolder Man page Source code
clearLoggerType Source code
clearffTempDir Man page Source code
combinePlpModelSettings Man page Source code
computeAuc Man page Source code
computeAucFromDataFrames Man page Source code
covariateSummary Source code
createCohort Man page Source code
createExistingModelSql Man page Source code
createLearningCurve Man page Source code
createLearningCurvePar Man page Source code
createLrSql Man page Source code
createPlpJournalDocument Man page Source code
createPlpModelSettings Man page Source code
createPlpReferenceTable Source code
createPlpReport Man page Source code
createStudyPopulation Man page Source code
createStudyPopulationSettings Man page Source code
createTempModelLoc Source code
createTransform Source code
diagnosticOddsRatio Man page Source code
drawAttritionDiagramPlp Man page Source code
evaluateExistingModel Man page Source code
evaluateMultiplePlp Man page Source code
evaluatePlp Man page Source code
exportPlpDataToCsv Man page Source code
exportPlpResult Man page Source code
externalValidatePlp Man page Source code
f1Score Man page Source code
falseDiscoveryRate Man page Source code
falseNegativeRate Man page Source code
falseOmissionRate Man page Source code
falsePositiveRate Man page Source code
fitAdaBoost Source code
fitCIReNN Source code
fitCNNTorch Source code
fitCovNN Source code
fitCovNN2 Source code
fitDecisionTree Source code
fitDeepNN Source code
fitGLMModel Man page Source code
fitGradientBoostingMachine Source code
fitKNN Source code
fitLRTorch Source code
fitLassoLogisticRegression Source code
fitMLP Source code
fitMLPTorch Source code
fitNaiveBayes Source code
fitPlp Man page Source code
fitRNNTorch Source code
fitRandomForest Source code
formatDocNumbers Source code
gbm_model2 Source code
getAttritionTable Man page Source code
getCalibration Man page Source code
getCohortNames Source code
getCounts Source code
getCounts2 Source code
getCovariateData Man page Source code
getDemographicSummary Source code
getExistingmodelsCovariateData Source code
getModelDetails Man page Source code
getName Source code
getPerformance Source code
getPlpData Man page Source code
getPlpTable Man page Source code
getPredictionCovariateData Source code
getPredictionDistribution Man page Source code
getRd Source code
getThresholdSummary Man page Source code
getValidationPerformance Source code
grepCovariateNames Man page Source code
in.ff Source code
initiatePython Source code
insertDbPopulation Man page Source code
interpretInstallCode Man page Source code
inverseLog Source code
limitCovariatesToPopulation Source code
loadEnsemblePlpModel Man page Source code
loadEnsemblePlpResult Man page Source code
loadPlpData Man page Source code
loadPlpModel Man page Source code
loadPlpResult Man page Source code
loadPrediction Man page Source code
loadPredictionAnalysisList Man page Source code
modelTypeToCyclopsModelType Source code
negativeLikelihoodRatio Man page Source code
negativePredictiveValue Man page Source code
onLoad Source code
packageResults Man page Source code
personSplitter Man page Source code
plotCovSummary Source code
plotCovariateSummary Source code
plotDemographicSummary Man page Source code
plotF1Measure Man page Source code
plotGeneralizability Man page Source code
plotLearningCurve Man page Source code
plotPlp Man page Source code
plotPlpProblem Source code
plotPrecisionRecall Man page Source code
plotPredictedPDF Man page Source code
plotPredictionDistribution Man page Source code
plotPreferencePDF Man page Source code
plotRoc Man page Source code
plotShiny Source code
plotSmoothCalibration Man page Source code
plotSparseCalibration Man page Source code
plotSparseCalibration2 Man page Source code
plotSparseRoc Man page Source code
plotVariableScatterplot Man page Source code
plpDataSimulationProfile Man page
positiveLikelihoodRatio Man page Source code
positivePredictiveValue Man page Source code
predict.deep Source code
predict.deepMulti Source code
predict.knn Source code
predict.plp Source code
predict.python Source code
predict.xgboost Source code
predictFfdf Man page Source code
predictPlp Man page Source code
predictProbabilities Man page Source code
print.plpData Source code
print.summary.plpData Source code
reformatPerformance Source code
registerParallelBackend Man page Source code
registerSequentialBackend Man page Source code
revisedAUC Source code
runEnsembleModel Man page Source code
runPlp Man page Source code
runPlpAnalyses Man page Source code
sameCovs Source code
saveCirceDefinition Source code
saveEnsemblePlpModel Man page Source code
saveEnsemblePlpResult Man page Source code
savePlpData Man page Source code
savePlpModel Man page Source code
savePlpResult Man page Source code
savePrediction Man page Source code
savePredictionAnalysisList Man page Source code
sensitivity Man page Source code
setAdaBoost Man page Source code
setCIReNN Man page Source code
setCNNTorch Man page Source code
setCovNN Man page Source code
setCovNN2 Man page Source code
setDecisionTree Man page Source code
setDeepNN Man page Source code
setGradientBoostingMachine Man page Source code
setKNN Man page Source code
setLRTorch Man page Source code
setLassoLogisticRegression Man page Source code
setMLP Man page Source code
setMLPTorch Man page Source code
setNaiveBayes Man page Source code
setRNNTorch Man page Source code
setRandomForest Man page Source code
setup_parallel Source code
similarPlpData Man page Source code
simulatePlpData Man page Source code
specificity Man page Source code
standardOutput Man page Source code
submitResults Man page Source code
summariseVal Source code
summary.plpData Source code
summary.plpModel Source code
summaryPlpAnalyses Source code
textPlpAnalysis Source code
timeSplitter Man page Source code
toPlpData Man page Source code
toSparseM Man page Source code
toSparsePython Man page Source code
toSparseTorchPython Man page Source code
trainAdaBoost Source code
trainCIReNN Source code
trainCNNTorch Source code
trainCovNN Source code
trainCovNN2 Source code
trainDecisionTree Source code
trainDeepNN Source code
trainLRTorch Source code
trainMLP Source code
trainMLPTorch Source code
trainRNNTorch Source code
transportModel Man page Source code
transportPlp Man page Source code
variableImportanceLR Source code
viewMultiplePlp Source code
viewPlp Man page Source code
writeOutput Source code
OHDSI/PatientLevelPrediction documentation built on Oct. 14, 2018, 6:11 p.m.