Wrapper of .predict_multiDEGGs for multiDEGGs_filter_combined()

This function generates predictions by creating a dataset with single and combined predictors based on the filtering results of a multiDEGGs_filter model.

Usage

# S3 method for class 'multiDEGGs_filter_combined'
predict(object, newdata, interaction.type = "ratio", sep = ":", ...)

Arguments

object

A fitted object of class multiDEGGs_filter containing filtering results with:

keep

Character vector of variable names to keep as single predictors

pairs

Data frame or matrix with two columns specifying pairs of variables to combine

newdata

A data frame containing the new data for prediction. Must contain all variables specified in object$keep and object$pairs.

interaction.type

Character string specifying how to combine the paired predictors. Options are:

"ratio"

Combine paired predictors by dividing the first variable by the second (a/b)

other

Combine paired predictors by multiplying the variables (a*b)

Default is "ratio".

sep

Character string used as separator when creating column names for combined predictors. Default is ":".

...

Additional arguments passed to the generic function.

Value

A data frame containing:

• Single predictors (if any are specified in object$keep)

• Combined predictors based on variable pairs and interaction type

Details

The function processes the filtering results in two steps:

1. Selects single predictors from newdata based on variables listed in object$keep

2. Adds combined predictors from paired variables in object$pairs