predict.cv.stepreg: Beta's or predicteds based upon a cv.stepreg() output object.

In glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models

Beta's or predicteds based upon a cv.stepreg() output object.

Description

Give predicteds or Beta's based upon a cv.stepreg() output object. If an input data matrix is specified the X*Beta's are output. If an input data matrix is not specified then the Beta's are output. In the first column values are given based upon df as a tuning parameter and in the second column values based upon p as a tuning parameter.

Usage

## S3 method for class 'cv.stepreg'
predict(object, xs = NULL, ...)

Arguments

object	cv.stepreg() output object
xs	dataset for predictions. Must have the same columns as the input predictor matrix in the call to cv.stepreg().
...	pass through parameters

Value

a matrix of beta's or predicteds

See Also

summary.cv.stepreg, cv.stepreg , nested.glmnetr

glmnetr documentation built on April 3, 2025, 6:45 p.m.