synthpop: syn.rf – R documentation

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syn.rf

Synthesis with random forest

Description

Generates univariate synthetic data using Breiman's random forest algorithm classification and regression. It uses randomForest function from the randomForest package.

Usage

syn.rf(y, x, xp, smoothing = "", proper = FALSE, ntree = 10, ...)

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`	...
`ntree`	number of trees to grow.
`...`	additional parameters passed to `randomForest`.

Details

...

Value

A list with two components:

`res`	a vector of length `k` with synthetic values of `y`.
`fit`	the fitted model which is an object of class `randomForest.`

References

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