syn.rf: Synthesis with random forest

In bnowok/synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

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 numeric variable. See syn.smooth.
proper	for proper synthesis (proper = TRUE) a model is fitted to a bootstrapped sample of the original data.
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

...

See Also

syn, syn.rf, syn.bag, syn.cart, randomForest, syn.smooth

bnowok/synthpop documentation built on Sept. 1, 2022, 2:41 p.m.