weighted_mcr-methods: General method for tuning / selection bias correction

In chbernau/CMA: Synthesis of microarray-based classification

Description

Perform tuning / selection bias correction in subsampling for the following signatures:

Methods

classifiers="character",parameters="character",nbgenes="numeric",sel.method="character",X = "matrix", y = "numeric"

signature 1

classifiers="character",parameters="character",nbgenes="numeric",sel.method="character",X = "matrix", y = "factor"

signature 2

classifiers="character",parameters="character",nbgenes="missing",sel.method="character",X = "matrix", y = "factor"

signature 3

For further argument and output information, consult weighted.mcr.

chbernau/CMA documentation built on May 17, 2019, 12:04 p.m.