simpleAGG3: Blockwise classifiers
Description
Blockwise classifiers
Usage
simpleAGG3(data = NULL, data.new = NULL, len = 100, times = 100, lam = seq(0, 0.1, length = 10))
Arguments
data
data matrix with column names being the class labels and row names being the genes.
data.new
the new data needs to be predicted.
lam
a sequence of lambda's from cross-validation.
Value
returns a list object with following items.
- cv.error
- cross-validation errors for each block
- pred
- predictions for class labels on the new dataset
- lik
- likelihood of each class on the new dataset