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.

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 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.

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

syn, syn.rf, syn.bag, syn.cart, ranger, syn.smooth