baggedModel | R Documentation |
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
)
baggedModelS(modelFormulas,
data,
type=c("LM","LOGIT","COX"),
Outcome=NULL,
timeOutcome=NULL)
modelFormulas |
The name of the column in |
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 |
timeOutcome |
The name of the column in |
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 |
Jose G. Tamez-Pena
ensemblePredict
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