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Methods for ei_ridge models

Source: R/ei_ridge.R
ridge-methods.Rd

Models fitted with ei_ridge() support various generic methods.

Usage

# S3 method for class 'ei_ridge'
predict(object, new_data, type = "numeric", ...)

# S3 method for class 'ei_ridge'
fitted(object, ...)

# S3 method for class 'ei_ridge'
residuals(object, ...)

# S3 method for class 'ei_ridge'
vcov(object, ...)

# S3 method for class 'ei_ridge'
summary(object, ...)

# S3 method for class 'ei_ridge'
weights(object, normalize = TRUE, ...)

Arguments

object

A fitted ei_ridge model

new_data

A data frame, matrix, or ei_spec of new predictors.

type

The type of predictions to generate; only "numeric" is supported.

...

Additional arguments (ignored)

normalize

If TRUE, normalize the weights to have mean 1.

Functions

  • predict(ei_ridge): Predict from an ei_ridge model.

  • fitted(ei_ridge): Extract fitted values.

  • residuals(ei_ridge): Extract residuals.

  • vcov(ei_ridge): Extract covariance of coefficient estimates.

  • summary(ei_ridge): Summarize the model's fitted values and \(R^2\).

  • weights(ei_ridge): Extract estimation weights from a fitted model.