training: Model Training

In cdeterman/OmicsMarkeR: Classification and Feature Selection for 'Omics' Datasets

Description

This fits each model with the defined parameters

Usage

training(data, method, tuneValue, obsLevels, theDots = NULL)

Arguments

data	Dataframe consisting of both numeric feature values and a single column named '.classes' to denoted group membership.
method	String dictating which model to fit
tuneValue	List of parameters to be applied to the specific model
obsLevels	Observed group levels
theDots	List of additional parameters to be applied to the specific model

Value

fit	Fitted model with list with the following elements:

• xNames: Names of the features

• tuneValue: Parameters applied to the fitted model

• obsLevels: Observed levels of the groups

Author(s)

Charles Determan Jr

cdeterman/OmicsMarkeR documentation built on May 13, 2019, 2:35 p.m.