* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘PatientLevelPrediction’ ...
** this is package ‘PatientLevelPrediction’ version ‘6.5.1’
** package ‘PatientLevelPrediction’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
** demo
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘PatientLevelPrediction’
    finding HTML links ... done
    MapIds                                  html  
    PatientLevelPrediction                  html  
    averagePrecision                        html  
    brierScore                              html  
    calibrationInLarge                      html  
    calibrationLine                         html  
    computeAuc                              html  
    computeGridPerformance                  html  
    configurePython                         html  
    covariateSummary                        html  
    createCohortCovariateSettings           html  
    createDatabaseDetails                   html  
    createDatabaseSchemaSettings            html  
    createDefaultExecuteSettings            html  
    createDefaultSplitSetting               html  
    createExecuteSettings                   html  
    createExistingSplitSettings             html  
    createFeatureEngineeringSettings        html  
    createGlmModel                          html  
    createIterativeImputer                  html  
    createLearningCurve                     html  
    createLogSettings                       html  
    createModelDesign                       html  
    createNormalizer                        html  
    createPlpResultTables                   html  
    createPreprocessSettings                html  
    createRandomForestFeatureSelection      html  
    createRareFeatureRemover                html  
    createRestrictPlpDataSettings           html  
    createSampleSettings                    html  
    createSimpleImputer                     html  
    createSklearnModel                      html  
    createSplineSettings                    html  
    createStratifiedImputationSettings      html  
    createStudyPopulation                   html  
    createStudyPopulationSettings           html  
    createTempModelLoc                      html  
    createUnivariateFeatureSelection        html  
    createValidationDesign                  html  
    createValidationSettings                html  
    diagnoseMultiplePlp                     html  
    diagnosePlp                             html  
    evaluatePlp                             html  
    externalValidateDbPlp                   html  
    extractDatabaseToCsv                    html  
    fitPlp                                  html  
    getCalibrationSummary                   html  
    getCohortCovariateData                  html  
    getDemographicSummary                   html  
    getEunomiaPlpData                       html  
    getPlpData                              html  
    getPredictionDistribution               html  
    getPredictionDistribution_binary        html  
    getThresholdSummary                     html  
    ici                                     html  
    insertCsvToDatabase                     html  
    insertResultsToSqlite                   html  
    iterativeImpute                         html  
    listAppend                              html  
    listCartesian                           html  
    loadPlpAnalysesJson                     html  
    loadPlpData                             html  
    loadPlpModel                            html  
    loadPlpResult                           html  
    loadPlpShareable                        html  
    loadPrediction                          html  
    migrateDataModel                        html  
    minMaxNormalize                         html  
    modelBasedConcordance                   html  
    outcomeSurvivalPlot                     html  
    pfi                                     html  
    plotDemographicSummary                  html  
    plotF1Measure                           html  
    plotGeneralizability                    html  
    plotLearningCurve                       html  
    plotNetBenefit                          html  
    plotPlp                                 html  
    plotPrecisionRecall                     html  
    plotPredictedPDF                        html  
    plotPredictionDistribution              html  
    plotPreferencePDF                       html  
    plotSmoothCalibration                   html  
    plotSparseCalibration                   html  
    plotSparseCalibration2                  html  
    plotSparseRoc                           html  
    plotVariableScatterplot                 html  
    pmmFit                                  html  
    predictCyclops                          html  
    predictGlm                              html  
    predictPlp                              html  
    preprocessData                          html  
    print.plpData                           html  
    print.summary.plpData                   html  
    recalibratePlp                          html  
    recalibratePlpRefit                     html  
    removeRareFeatures                      html  
    robustNormalize                         html  
    runMultiplePlp                          html  
    runPlp                                  html  
    savePlpAnalysesJson                     html  
    savePlpData                             html  
    savePlpModel                            html  
    savePlpResult                           html  
    savePlpShareable                        html  
    savePrediction                          html  
    setAdaBoost                             html  
    setCoxModel                             html  
    setDecisionTree                         html  
    setGradientBoostingMachine              html  
    setIterativeHardThresholding            html  
    setLassoLogisticRegression              html  
    setLightGBM                             html  
    setMLP                                  html  
    setNaiveBayes                           html  
    setPythonEnvironment                    html  
    setRandomForest                         html  
    setSVM                                  html  
    simpleImpute                            html  
    simulatePlpData                         html  
    simulationProfile                       html  
    sklearnFromJson                         html  
    sklearnToJson                           html  
    splitData                               html  
    summary.plpData                         html  
    toSparseM                               html  
    validateExternal                        html  
    validateMultiplePlp                     html  
    viewDatabaseResultPlp                   html  
    viewMultiplePlp                         html  
    viewPlp                                 html  
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (PatientLevelPrediction)