predictOOB: Out-of-bag predictions for the SDForest

In SDModels: Spectrally Deconfounded Models

Out-of-bag predictions for the SDForest

Description

Predicts the response for the training data using only the trees in the SDForest that were not trained on the observation.

Usage

predictOOB(object, X = NULL)

Arguments

object	Fitted object of class SDForest.
X	Covariates of the training data. If NULL, the data saved in the object is used.

Value

A vector of out-of-bag predictions for the training data. #' set.seed(1) n <- 50 X <- matrix(rnorm(n * 5), nrow = n) y <- sign(X[, 1]) * 3 + rnorm(n) model <- SDForest(x = X, y = y, Q_type = 'no_deconfounding', nTree = 5, cp = 0.5) predictOOB(model)

Author(s)

Markus Ulmer

See Also

SDForest prune.SDForest plotOOB

SDModels documentation built on April 11, 2025, 5:50 p.m.