Synthesis with bagging

Generates univariate synthetic data using bagging. It uses randomForest function from the randomForest package with number of sampled predictors equal to number of all predictors.

Usage

syn.bag(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 model fitted to the observed data that was used to produce synthetic values.

References

...

See also

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