Man pages for quinterpriest/PatientLevelPrediction
Developing patient level prediction using data in the OMOP Common Data Model
| accuracy | Calculate the accuracy |
| averagePrecision | Calculate the average precision |
| brierScore | brierScore |
| calibrationLine | calibrationLine |
| computeAuc | Compute the area under the ROC curve |
| configurePython | Sets up a virtual environment to use for PLP (can be conda or... |
| covariateSummary | covariateSummary |
| createCohortCovariateSettings | Extracts covariates based on cohorts |
| createDatabaseDetails | Create a setting that holds the details about the cdmDatabase... |
| createDefaultExecuteSettings | Creates default list of settings specifying what parts of... |
| createDefaultSplitSetting | Create the settings for defining how the plpData are split... |
| createExecuteSettings | Creates list of settings specifying what parts of runPlp to... |
| createFeatureEngineeringSettings | Create the settings for defining any feature engineering that... |
| createLearningCurve | createLearningCurve |
| createLogSettings | Create the settings for logging the progression of the... |
| createModelDesign | Specify settings for deceloping a single model |
| createPlpResultTables | Create the results tables to store PatientLevelPrediction... |
| createPreprocessSettings | Create the settings for preprocessing the trainData using '... |
| createRandomForestFeatureSelection | Create the settings for random foreat based feature selection |
| createRestrictPlpDataSettings | createRestrictPlpDataSettings define extra restriction... |
| createSampleSettings | Create the settings for defining how the trainData from... |
| createStudyPopulation | Create a study population |
| createStudyPopulationSettings | create the study population settings |
| createUnivariateFeatureSelection | Create the settings for defining any feature selection that... |
| createValidationSettings | createValidationSettings define optional settings for... |
| diagnostic | diagnostic - Investigates the prediction problem settings -... |
| diagnosticOddsRatio | Calculate the diagnostic odds ratio |
| evaluatePlp | evaluatePlp |
| externalValidateDbPlp | externalValidateDbPlp - Validate a model on new databases |
| f1Score | Calculate the f1Score |
| falseDiscoveryRate | Calculate the falseDiscoveryRate |
| falseNegativeRate | Calculate the falseNegativeRate |
| falseOmissionRate | Calculate the falseOmissionRate |
| falsePositiveRate | Calculate the falsePositiveRate |
| fitPlp | fitPlp |
| getCalibrationSummary | Get a sparse summary of the calibration |
| getCohortCovariateData | Extracts covariates based on cohorts |
| getDemographicSummary | Get a calibration per age/gender groups |
| getPlpData | Get the patient level prediction data from the server |
| getPredictionDistribution | Calculates the prediction distribution |
| getPredictionDistribution_binary | Calculates the prediction distribution |
| getThresholdSummary | Calculate all measures for sparse ROC |
| getThresholdSummary_binary | Calculate all measures for sparse ROC when prediction is... |
| ici | Calculate the Integrated Calibration Information from Austin... |
| launchDiagnosticsExplorer | Launch the Diagnostics Explorer Shiny app |
| listAppend | join two lists |
| loadPlpAnalysesJson | Load the multiple prediction json settings from a file |
| loadPlpData | Load the cohort data from a folder |
| loadPlpModel | loads the plp model |
| loadPlpResult | Loads the evalaution dataframe |
| loadPlpShareable | Loads the plp result saved as json/csv files for transparent... |
| loadPrediction | Loads the prediciton dataframe to csv |
| modelBasedConcordance | Calculate the model-based concordance, which is a calculation... |
| negativeLikelihoodRatio | Calculate the negativeLikelihoodRatio |
| negativePredictiveValue | Calculate the negativePredictiveValue |
| outcomeSurvivalPlot | Plot the outcome incidence over time |
| PatientLevelPrediction | PatientLevelPrediction |
| pfi | pfi |
| plotDemographicSummary | Plot the Observed vs. expected incidence, by age and gender |
| plotF1Measure | Plot the F1 measure efficiency frontier using the sparse... |
| plotGeneralizability | Plot the train/test generalizability diagnostic |
| plotLearningCurve | plotLearningCurve |
| plotPlp | Plot all the PatientLevelPrediction plots |
| plotPrecisionRecall | Plot the precision-recall curve using the sparse... |
| plotPredictedPDF | Plot the Predicted probability density function, showing... |
| plotPredictionDistribution | Plot the side-by-side boxplots of prediction distribution, by... |
| plotPreferencePDF | Plot the preference score probability density function,... |
| plotSmoothCalibration | Plot the smooth calibration as detailed in Calster et al. "A... |
| plotSparseCalibration | Plot the calibration |
| plotSparseCalibration2 | Plot the conventional calibration |
| plotSparseRoc | Plot the ROC curve using the sparse thresholdSummary data... |
| plotVariableScatterplot | Plot the variable importance scatterplot |
| plpDataSimulationProfile | A simulation profile |
| populatePlpResultTables | Populate the PatientLevelPrediction results tables |
| positiveLikelihoodRatio | Calculate the positiveLikelihoodRatio |
| positivePredictiveValue | Calculate the positivePredictiveValue |
| predictCyclops | Create predictive probabilities |
| predictPlp | predictPlp |
| preprocessData | A function that wraps around... |
| recalibratePlp | recalibratePlp |
| recalibratePlpRefit | recalibratePlpRefit |
| runMultiplePlp | Run a list of predictions analyses |
| runPlp | runPlp - Develop and internally evaluate a model using... |
| savePlpAnalysesJson | Save the modelDesignList to a json file |
| savePlpData | Save the cohort data to folder |
| savePlpModel | Saves the plp model |
| savePlpResult | Saves the result from runPlp into the location directory |
| savePlpShareable | Save the plp result as json files and csv files for... |
| savePrediction | Saves the prediction dataframe to RDS |
| sensitivity | Calculate the sensitivity |
| setAdaBoost | Create setting for AdaBoost with python... |
| setCoxModel | Create setting for lasso Cox model |
| setDecisionTree | Create setting for the scikit-learn 1.0.1 DecisionTree with... |
| setGradientBoostingMachine | Create setting for gradient boosting machine model using... |
| setIterativeHardThresholding | Create setting for lasso logistic regression |
| setKNN | Create setting for knn model |
| setLassoLogisticRegression | Create setting for lasso logistic regression |
| setMLP | Create setting for neural network model with python |
| setNaiveBayes | Create setting for naive bayes model with python |
| setPythonEnvironment | Use the virtual environment created using configurePython() |
| setRandomForest | Create setting for random forest model with python (very... |
| setSVM | Create setting for the python sklearn SVM (SVC function) |
| simulatePlpData | Generate simulated data |
| specificity | Calculate the specificity |
| splitData | Split the plpData into test/train sets using a splitting... |
| toSparseM | Convert the plpData in COO format into a sparse R matrix |
| validateMultiplePlp | externally validate the multiple plp models across new... |
| viewDatabaseResultPlp | open a local shiny app for viewing the result of a PLP... |
| viewMultiplePlp | open a local shiny app for viewing the result of a multiple... |
| viewPlp | viewPlp - Interactively view the performance and model... |
