Fusing Machine Learning in R

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Documentation for package ‘fuseMLR’ version 0.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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
createTesting	createTesting
createTestLayer	createTestLayer
createTraining	createTraining
createTrainLayer	createTrainLayer
createTrainMetaLayer	createTrainMetaLayer
createWeights	Create weights for COBRA Predictions
Data	Abstract class Data
extractData	extractData
extractModel	extractModel
fusemlr	fusemlr
HashTable	Class HashTable
Lrner	Lrner Class
Model	Model Class
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.bestLayerLearner	Best specific Learner prediction.
predict.cobra	Predict Using COBRA object
predict.Training	predict.Training
predict.weightedMeanLearner	Weighted mean prediction.
PredictData	PredictData Class
Predicting	Predicting Class
PredictLayer	PredictLayer Class
PredictMetaLayer	PredictMetaLayer Class
summary.Testing	Testing object Summaries
summary.Training	Training object Summaries
Target	Target Class
TestData	TestData Class
Testing	Testing Class
TestLayer	TestLayer Class
TestMetaLayer	TestMetaLayer Class
TrainData	TrainData Class
Training	Training Class
TrainLayer	TrainLayer Class
TrainMetaLayer	TrainMetaLayer Class
upsetplot	upsetplot
VarSel	Varsel Class
varSelection	varSelection
weightedMeanLearner	The weighted mean meta-learner