print.gpe {pre}

Print a General Prediction Ensemble (gpe)

Description

Print a General Prediction Ensemble (gpe)

Usage

## S3 method for class 'gpe'
print(x, penalty.par.val = "lambda.1se", digits = getOption("digits"), ...)

Arguments

x

An object of class gpe.

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).

digits

Number of decimal places to print

...

Further arguments to be passed to coef.cv.glmnet.

See Also

gpe print.pre