coef.gpe: Coefficients for a General Prediction Ensemble (gpe)

In marjoleinF/pre: Prediction Rule Ensembles

Coefficients for a General Prediction Ensemble (gpe)

Description

coef function for gpe

Usage

## S3 method for class 'gpe'
coef(object, penalty.par.val = "lambda.1se", ...)

Arguments

object	object of class pre
penalty.par.val	character or numeric. Value of the penalty parameter \lambda to be employed for selecting the final ensemble. The default "lambda.min" employs the \lambda value within 1 standard error of the minimum cross-validated error. Alternatively, "lambda.min" may be specified, to employ the \lambda value with minimum cross-validated error, or a numeric value >0 may be specified, with higher values yielding a sparser ensemble. To evaluate the trade-off between accuracy and sparsity of the final ensemble, inspect pre_object$glmnet.fit and plot(pre_object$glmnet.fit).
...	Further arguments to be passed to coef.cv.glmnet.

See Also

coef.pre, gpe

marjoleinF/pre documentation built on April 24, 2024, 7:17 p.m.