simpleAGG3: Blockwise classifiers

In SQDA: Sparse Quadratic Discriminant Analysis

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.
len	block size
times	number of blocks
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

SQDA documentation built on May 1, 2019, 7:29 p.m.