# mobforest.control

##### Control parameters for random forest

Various parameters that control the forest growing.

##### Usage

```
mobforest.control(ntree = 300, mtry = 0, replace = FALSE,
fraction = 0.632, alpha = 1, bonferroni = FALSE, minsplit = 20,
trim = 0.1, objfun = deviance, breakties = FALSE, parm = NULL,
verbose = FALSE)
```

##### Arguments

- ntree
Number of trees to be constructed in forest (default = 300).

- mtry
Number of input variables randomly sampled as candidates at each node.

- replace
logical. replace = TRUE (default) performs bootstrapping. replace = FALSE performs sampling without replacement.

- fraction
Number of observations to draw without replacement (only relevant if replace = FALSE).

- alpha
A node is considered for splitting if the p value for any partitioning variable in that node falls below alpha (default 0.05). Please see mob_control().

- bonferroni
logical. Should p values be Bonferroni corrected? (default TRUE). Please see mob_control().

- minsplit
An integer. The minimum number of observations in a node (default 20). Please see mob_control().

- trim
A numeric, as defined in mob_control().

- objfun
A function, as defined in mob_control().

- breakties
A logical, as defined in mob_control().

- parm
A numeric or vector, as defined in mob_control().

- verbose
A logical, as defined in mob_control().

##### Details

This function is used to set up forest controls. The mob_control (from party 'package') object is used to set up control parameters for single tree model. For most parameters, please see: mob_control()

##### Value

##### References

Achim Zeileis, Torsten Hothorn, and Kurt Hornik (2008).
Model-Based Recursive Partitioning. *Journal of Computational and
Graphical Statistics*, 17(2), 492-514.

##### Examples

```
# NOT RUN {
# create forest controls before starting random forest analysis
mobforest_control = mobforest.control(ntree = 400, mtry = 4, replace = TRUE,
minsplit = 200)
# }
```

*Documentation reproduced from package mobForest, version 1.3.1, License: GPL (>= 2)*