coef.pre returns coefficients for prediction rules and linear terms in
the final ensemble
object of class
character or numeric. Value of the penalty parameter
λ to be employed for selecting the final ensemble. The default
additional arguments to be passed to
In some cases, duplicated variable names may appear in the model. For example, the first variable is a factor named 'V1' and there are also variables named 'V10' and/or 'V11' and/or 'V12' (etc). Then for for the binary factor V1, dummy contrast variables will be created, named 'V10', 'V11', 'V12' (etc). As should be clear from this example, this yields duplicated variable names, which may yield problems, for example in the calculation of predictions and importances, later on. This can be prevented by renaming factor variables with numbers in their name, prior to analysis.
returns a dataframe with 3 columns: coefficient, rule (rule or
variable name) and description (
NA for linear terms, conditions for
1 2 3
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