Data                    Abstract class Data
HashTable               Class HashTable
Lrner                   Lrner Class
Model                   Model Class
PredictData             PredictData Class
PredictLayer            PredictLayer Class
PredictMetaLayer        PredictMetaLayer Class
Predicting              Predicting Class
Target                  Target Class
TestData                TestData Class
TestLayer               TestLayer Class
TestMetaLayer           TestMetaLayer Class
Testing                 Testing Class
TrainData               TrainData Class
TrainLayer              TrainLayer Class
TrainMetaLayer          TrainMetaLayer Class
Training                Training Class
VarSel                  Varsel Class
bestLayerLearner        The best layer-specific model is used as meta
                        model.
cobra                   Cobra Meta Learner
createCobraPred         Create COBRA Predictions
createDif               Create Difference
createLoss              Create Loss
createTestLayer         createTestLayer
createTesting           createTesting
createTrainLayer        createTrainLayer
createTrainMetaLayer    createTrainMetaLayer
createTraining          createTraining
createWeights           Create weights for COBRA Predictions
extractData             extractData
extractModel            extractModel
fusemlr                 fusemlr
multi_omics             Simulated multiomics data for 70 training
                        participants and 23 testing participants, each
                        with an effect size of 20 on each layer. Each
                        layer includes 50 participants for training and
                        20 for testing. Participants do not perfectly
                        overlap across layers. The simulation is based
                        on the R package 'interSIM'.
predict.Training        predict.Training
predict.bestLayerLearner
                        Best specific Learner prediction.
predict.cobra           Predict Using COBRA object
predict.weightedMeanLearner
                        Weighted mean prediction.
summary.Testing         Testing object Summaries
summary.Training        Training object Summaries
upsetplot               upsetplot
varSelection            varSelection
weightedMeanLearner     The weighted mean meta-learner
