syn.bag: Synthesis with bagging

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

Synthesis with bagging

Description

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

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See Also

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

synthpop documentation built on Aug. 31, 2022, 5:06 p.m.