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  | 
| x | a matrix ( | 
| xp | a matrix ( | 
| smoothing | smoothing method for continuous variables. | 
| proper | ... | 
| ... | additional parameters passed to 
 | 
...
A list with two components:
| res | a vector of length  | 
| fit | the model fitted to the observed data that was used to produce synthetic values. | 
...
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