RandomLabelShufflingModel: RandomLabelShufflingModel Constructor

In bhklab/PDATK: Pancreatic Ductal Adenocarcinoma Tool-Kit

Description

RandomLabelShufflingModel Constructor

Usage

RandomLabelShufflingModel(trainCohorts, minDaysSurvived = 365, ..., randomSeed)

Arguments

trainCohorts	A 'SurvivelExperiment' containing training data for the SurvivalModel object.
minDaysSurvived	An integer minimum number of days survived to be classified as a 'good' prognosis.
...	Force subsequent parameters to be named. Not used.
randomSeed	An integer randomSeed that was used to train the model. Users should specify this when initializing a model to ensure reproducibilty.

Value

A SurvivalModel object.

Examples

data(sampleICGCmicro)
set.seed(1987)
RLSmodel <- RLSModel(sampleICGCmicro, minDaysSurvived=365, randomSeed=1987)

bhklab/PDATK documentation built on Dec. 27, 2021, 7:46 a.m.