FRESA.CAD (version 2.2.0)

baggedModel: Get the bagged model from a list of forward 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,
				pvalue=0.05,
				backElimination=FALSE,
				frequencyThreshold=0.05,
				removeOutliers=4.0
				)

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)

pvalue

The elimination p-value)

backElimination

set it to TRUE if backelimination will be performed at each formula before bagging the coefficients)

frequencyThreshold

set the frequency the thresold of the frequence of features to be included in the model)

removeOutliers

The z value for removing outliers from data set)

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

zvalues

The average z-values of the model coefficients

reducedDataSet

A data set with the outliers removed

MAD

The mean absolute difference(MAD) of the residuals

See Also

medianPredict