compareModels,SurvivalModel,SurvivalModel-method {PDATK} | R Documentation

## Compare Two `SurivalModel` Objects, Returing A `ModelComparison` Object With Statistics Comparing the Performance of Each Model.

### Description

Compare Two `SurivalModel` Objects, Returing A `ModelComparison` Object With Statistics Comparing the Performance of Each Model.

### Usage

    ## S4 method for signature 'SurvivalModel,SurvivalModel'
    compareModels(model1, model2, modelNames)

### Arguments

`model1` | An object inherting from the `SurvivalModel` class.
`model2` | Another object inherting from the `SurvivalModel` class
`modelNames` | Optional character vector with a name for each model. Defaults to the class of the model plus 1 and 2 if missing.

### Value

A `ModelComparison` object with statistics comparing the two models.

### Examples

    data(sampleValPCOSPmodel)
    data(sampleClinicalModel)
    data(sampleCohortList)

    # Set parallelization settings
    BiocParallel::register(BiocParallel::SerialParam())

    # Train the model
    trainedClinicalModel <- trainModel(sampleClinicalModel)

    # Predict risk/risk-class
    ClinicalPredPCSI <- predictClasses(sampleCohortList[c('PCSI', 'TCGA')],
      model=trainedClinicalModel)

    # Validate the models
    validatedClinicalModel <- validateModel(trainedClinicalModel,
      valData=ClinicalPredPCSI)

    # Compare the models
    modelComp <- compareModels(sampleValPCOSPmodel, validatedClinicalModel)
    head(modelComp)

[Package PDATK version 1.2.0 Index]