syn.ranger: Synthesis with a fast implementation of random forests
In synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

syn.ranger

R Documentation

Synthesis with a fast implementation of random forests

Generates univariate synthetic data using a fast implementation of random forests. It uses ranger function from the ranger package.

syn.ranger(y, x, xp, smoothing = "", proper = FALSE, ...)

`y`	an original data vector of length `n`.
`x`	a matrix (`n` x `p`) of original covariates.
`xp`	a matrix (`k` x `p`) of synthesised covariates.
`smoothing`	smoothing method for numeric variable. See `syn.smooth`.
`proper`	for proper synthesis (`proper = TRUE`) a model is fitted to a bootstrapped sample of the original data.
`...`	additional parameters passed to `ranger`.

...

A list with two components:

`res`	a vector of length `k` with synthetic values of `y`.
`fit`	the model fitted to the observed data that was used to produce synthetic values.

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