unsupervisedForest: unsupervisedForest
In dsnavega/imputeForest: Missing value imputation model using randomForest
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Wrapper for creating unsupervised randomForest objects with prediction capabilities
Usage
1
unsupervisedForest(x, mtry, ntree = 500, type = "data", ...)
Arguments
x
a data.frame.
mtry
an integer, defines number of variables to try at each split.
ntree
number of trees composing the forest.
type
the type of envelope used to generate random data. Default is
"data". type can be "data" or "uniform".
...
additional parameters to the randomForest
Value
an unsupervisedForest object
Author(s)
David Navega
See Also
randomForest
dsnavega/imputeForest documentation built on May 8, 2019, 2:43 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Wrapper for creating unsupervised randomForest objects with prediction capabilities
Usage
1 | unsupervisedForest(x, mtry, ntree = 500, type = "data", ...)
|
Arguments
x |
a data.frame. |
mtry |
an integer, defines number of variables to try at each split. |
ntree |
number of trees composing the forest. |
type |
the type of envelope used to generate random data. Default is "data". type can be "data" or "uniform". |
... |
additional parameters to the randomForest |
Value
an unsupervisedForest object
Author(s)
David Navega
See Also
randomForest
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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