wv.model: Train a weighted voting classifier

In jperezrogers/rabbit: An R Package to Create Computational Pipelines to Develop and Evaluate Biomarkers from High Dimensional Genomic Data

Description

A more detailed description will eventually go here...

Usage

wv.model(data, classlabel, correction = TRUE)

Arguments

data	matrix with samples in columns and genes in rows
classlabel	two-level factor of binary outcomes (0 or 1)
correction	should the Broad Institute's correction method be used?

Examples

## Not run: 
library(multtest)
data(golub)
mod <- wv.model(golub,golub.cl,correction=T)

## End(Not run)

jperezrogers/rabbit documentation built on Feb. 9, 2020, 4:59 p.m.