brifTree.formula {brif} | R Documentation |

## Build a single brif tree taking a formula as input

### Description

Build a single brif tree taking a formula as input

### Usage

```
## S3 method for class 'formula'
brifTree(
formula,
data,
subset,
na.action = stats::na.pass,
depth = 3,
n_cuts = 2047,
max_integer_classes = 20,
max_factor_levels = 30,
seed = 0,
...
)
```

### Arguments

`formula` |
an object of class " |

`data` |
an optional data frame, list or environment (or object coercible by |

`subset` |
an optional vector specifying a subset (in terms of index numbers, not actual data) of observations to be used in the fitting process. |

`na.action` |
a function which indicates what should happen when the data contain NAs. |

`depth` |
a positive integer indicating the desired depth of the tree. |

`n_cuts` |
a positive integer indicating the maximum number of split points to generate on each numeric or integer variable. A large value is preferred for a single tree. |

`max_integer_classes` |
a positive integer. See |

`max_factor_levels` |
a positive integer. See |

`seed` |
a non-negative positive integer specifying the random number generator seed. |

`...` |
other relevant arguments. |

### Value

an object of class `brif`

to be used by `predict.brif`

.

*brif*version 1.4.1 Index]