findTestPreds

The random forest object being used for prediction.

forest

A <code>matrix</code> or <code>data.frame</code> with the observations to
be predicted. Each row should be an observation, and each column should be
a predictor variable.

X.test

Number of cores to use (for parallel computation in <code>ranger</code>).

n.cores

Predicts each test observation's response using the random forest and, for
each test observation and tree, finds the terminal node of the tree in which
the test observation falls.

internal

Estimates the conditional error distributions of random forest
predictions and common parameters of those distributions, including
conditional misclassification rates, conditional mean squared prediction
errors, conditional biases, and conditional quantiles, by out-of-bag
weighting of out-of-bag prediction errors as proposed by Lu and Hardin
(2021). This package is compatible with several existing packages that
implement random forests in R.

findTestPreds: Compute and locate test predictions

Description

Usage

Arguments

Value

Details

See Also