predict.svem_model {SVEMnet}R Documentation

Predict Method for SVEM Models

Description

Generates predictions from a fitted svem_model.

Usage

## S3 method for class 'svem_model'
predict(object, newdata, debias = FALSE, se.fit = FALSE, ...)

Arguments

object

An object of class svem_model.

newdata

A data frame of new predictor values.

debias

Logical; default is FALSE.

se.fit

Logical; if TRUE, returns standard errors (default is FALSE).

...

Additional arguments.

Details

A debiased fit is available (along with the standard fit). This is provided to allow the user to match the output of JMP.\ https://www.jmp.com/support/help/en/18.1/?utm_source=help&utm_medium=redirect#page/jmp/overview-of-selfvalidated-ensemble-models.shtml. The debiasing coefficients are always calculated by SVEMnet(), and the predict() function determines whether the raw or debiased predictions are returned via the debias argument. Default is FALSE based on performance on unpublished simulation studies.

Value

Predictions or a list containing predictions and standard errors.

Acknowledgments

Development of this package was assisted by GPT o1-preview, which helped in constructing the structure of some of the code and the roxygen documentation. The code for the significance test is taken from the supplementary material of Karl (2024) (it was handwritten by that author).


[Package SVEMnet version 1.2.1 Index]