baggedModel: Get the bagged model from a list of models

In FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis

Get the bagged model from a list of models

Description

This function will take the frequency-ranked of variables and the list of models to create a single bagged model

Usage

	baggedModel(modelFormulas,
	            data,
	            type=c("LM","LOGIT","COX"),
	            Outcome=NULL,
	            timeOutcome=NULL,
	            frequencyThreshold=0.025,
	            univariate=NULL,
				useFreq=TRUE,
				n_bootstrap=1,
				equifreqCorrection=0
	            )
	baggedModelS(modelFormulas,
                 data,
                 type=c("LM","LOGIT","COX"),
                 Outcome=NULL,
                 timeOutcome=NULL)

Arguments

modelFormulas	The name of the column in data that stores the variable to be predicted by the model
data	A data frame with two columns. The first one must have the names of the candidate variables and the other one the description of such variables
type	Fit type: Logistic ("LOGIT"), linear ("LM"), or Cox proportional hazards ("COX")
Outcome	The name of the column in data that stores the time to outcome
timeOutcome	The name of the column in data that stores the time to event (needed only for a Cox proportional hazards regression model fitting)
frequencyThreshold	set the frequency the threshold of the frequency of features to be included in the model)
univariate	The FFRESA.CAD univariate analysis matrix
useFreq	Use the feature frequency to order the formula terms. If set to a positive value is the number of estimation loops
n_bootstrap	if greater than 1, defines the number of bootstraps samples to be used
equifreqCorrection	Indicates the average size of repeated features in an equivalent model

Value

bagged.model	the bagged model
formula	the formula of the model
frequencyTable	the table of variables ranked by their model frequency
faverageSize	the average size of the models
formulaNetwork	The matrix of interaction between formulas
Jaccard.SM	The Jaccard Stability Measure of the formulas
coefEvolution	The evolution of the coefficients
avgZvalues	The average Z value of each coefficient
featureLocation	The average location of the feature in the formulas

Author(s)

Jose G. Tamez-Pena

See Also

ensemblePredict

FRESA.CAD documentation built on June 26, 2024, 1:07 a.m.