LinearDiscriminantAnalysisModel {MBMethPred}

Linear discriminant analysis model

Description

A function to train a linear discriminant analysis model to classify medulloblastoma subgroups using the DNA methylation beta values (Illumina Infinium HumanMethylation450). Prediction is followed by training if new data is provided.

Arguments

SplitRatio

Train and test split ratio. A value greater or equal than zero and less than one.

CV

The number of folds for cross validation. It should be greater than one.

NCores

The number of cores for parallel computing.

NewData

A methylation beta values input from the ReadMethylFile function.

Value

A list

Examples

set.seed(123)
lda <- LinearDiscriminantAnalysisModel(SplitRatio = 0.8,
                                       CV = 2,
                                       NCores = 1,
                                       NewData = NULL)