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.
syn.bag(y, x, xp, smoothing = "", proper = FALSE, ntree = 10, ...)
y |
an original data vector of length |
x |
a matrix ( |
xp |
a matrix ( |
smoothing |
smoothing method for continuous variables. |
proper |
... |
ntree |
number of trees to grow. |
... |
additional parameters passed to
|
...
A list with two components:
res |
a vector of length |
fit |
the model fitted to the observed data that was used to produce synthetic values. |
...
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.