# Control Parameters for Model-based Partitioning

### Description

Various parameters that control aspects the fitting algorithm
for recursively partitioned `mob`

models.

### Usage

1 2 |

### Arguments

`alpha` |
numeric significance level. A node is splitted when
the (possibly Bonferroni-corrected) |

`bonferroni` |
logical. Should |

`minsplit` |
integer. The minimum number of observations (sum of the weights) in a node. |

`trim` |
numeric. This specifies the trimming in the parameter instability test for the numerical variables. If smaller than 1, it is interpreted as the fraction relative to the current node size. |

`objfun` |
function. A function for extracting the minimized value of the objective function from a fitted model in a node. |

`breakties` |
logical. Should ties in numeric variables be broken randomly for computing the associated parameter instability test? |

`parm` |
numeric or character. Number or name of model parameters included in the parameter instability tests (by default all parameters are included). |

`verbose` |
logical. Should information about the fitting process
of |

### Details

See `mob`

for more details and references.

### Value

A list of class `mob_control`

containing the control parameters.

### See Also

`mob`

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