predictClasses,CohortList,PCOSP_or_RLS_or_RGA-method {PDATK} | R Documentation

## Predict Survival Prognosis Classes and Risk Scores for A `CohortList` Using a `PCOSP`, `RLSModel` or `RGAModel` object.

### Description

Predict Survival Prognosis Classes and Risk Scores for A `CohortList` Using a `PCOSP`, `RLSModel` or `RGAModel` object.

### Usage

    ## S4 method for signature 'CohortList,PCOSP_or_RLS_or_RGA'
    predictClasses(object, model, ...)

### Arguments

`object` | A `CohortList` with `SurvivalExperiment`s to predict classes for.
`model` | A trained `PCOSP` model to use for predicting classes.
`...` | Fall through arguments to `BiocParallel::bplapply` for configuring parallelization settings.

### Value

A `CohortList` with the model predictions attached to each `SurvivalExperiment` in the metadata slot and the `prob_good_survival` column added to the colData slot.

### Examples

    data(sampleTrainedPCOSPmodel)
    data(sampleCohortList)

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

    # Make predictions
    PCOSPpredCohortList <- predictClasses(sampleCohortList[seq_len(2)],
      model=sampleTrainedPCOSPmodel)
    head(colData(PCOSPpredCohortList[[1]]))

[Package PDATK version 1.2.0 Index]