two_stage_module: Two Stage Module

In bhioswego/CBRMSR: CBRMSR

Description

This module runs a two-stage process. First, it retrieves samples from similar confounding factors before reducing the pool of retrieved samples through using similarity among the predictor variables. This is done automatically using a confidence metric. Each training sample is assigned a confidence value which is the average distance to samples of a different class minus the average distance to samples of the same class. This value is normalized between 0 and 1. This is the last module that should be run.

Usage

two_stage_module(CBRMSR)

Arguments

CBRMSR

A CBRMSR object

Examples

## Not run: 
CBRMSR <- two_stage_module(CBRMSR)

## End(Not run)

bhioswego/CBRMSR documentation built on Dec. 6, 2020, 3:16 p.m.