Synthesis with random forest

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