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syn.ranger

Synthesis with a fast implementation of random forests


Description

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

Usage

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

Arguments

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 continuous variables.

proper

...

...

additional parameters passed to ranger.

Details

...

Value

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.

References

...

See Also


synthpop

Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

v1.6-0
GPL-2 | GPL-3
Authors
Beata Nowok [aut, cre], Gillian M Raab [aut], Chris Dibben [ctb], Joshua Snoke [ctb], Caspar van Lissa [ctb]
Initial release
2020-09-03

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