scdaCMA-methods: Shrunken Centroids Discriminant Analysis

In CMA: Synthesis of microarray-based classification

Description

The nearest shrunken centroid classification algorithm is detailly described in Tibshirani et al. (2002).

It is widely known under the name PAM (prediction analysis for microarrays), which can also be found in the package pamr.

Methods

X = "matrix", y = "numeric", f = "missing"

signature 1

X = "matrix", y = "factor", f = "missing"

signature 2

X = "data.frame", y = "missing", f = "formula"

signature 3

X = "ExpressionSet", y = "character", f = "missing"

signature 4

For references, further argument and output information, consult scdaCMA.

CMA documentation built on Nov. 8, 2020, 5:02 p.m.