Shortcut sampling function

Calls adversarial_rf, forde and forge. For repeated application, it is faster to save outputs of adversarial_rf and forde and pass them via ... or directly use forge.

Usage

rarf(x, n_synth = NULL, ...)

Arguments

x

Input data. Integer variables are recoded as ordered factors with a warning. See Details.

n_synth

Number of synthetic samples to generate. Is set to nrow(x) if NULL.

...

Extra parameters to be passed to adversarial_rf, forde and forge.

Value

A dataset of n_synth synthetic samples or of nrow(x) synthetic samples if n_synth is undefined.

References

Watson, D., Blesch, K., Kapar, J., & Wright, M. (2023). Adversarial random forests for density estimation and generative modeling. In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, pp. 5357-5375.

See also

arf, adversarial_rf, forde, forge

Examples

# Generate 150 (size of original iris dataset) synthetic samples from the iris dataset
x_synth <- rarf(iris)

# Generate 100 synthetic samples from the iris dataset
x_synth <- rarf(iris, n_synth = 100)

# Condition on Species = "setosa"
x_synth <- rarf(iris, evidence = data.frame(Species = "setosa"))