compareModels,ModelComparison,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 'ModelComparison,SurvivalModel'
    compareModels(model1, model2, model2Name)

### Arguments

`model1` | An object inherting from the `SurvivalModel` class.
`model2` | Another object inherting from the `SurvivalModel` class
`model2Name` | A `character` vector with the name of the second model.

### 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 models
    trainedClinicalModel <- trainModel(sampleClinicalModel)

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

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

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

    # Compare model comparison to another model
    modelCompComp <- compareModels(modelComp, sampleValPCOSPmodel)

[Package PDATK version 1.2.0 Index]