baggedModel: Get the bagged model from a list of models
In FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis

Description Usage Arguments Value Author(s) See Also

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

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

`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

`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