rbox {locfit} | R Documentation |

## Local Regression, Likelihood and Density Estimation.

### Description

`rbox()`

is used to specify a rectangular box evaluation
structure for `locfit.raw()`

. The structure begins
by generating a bounding box for the data, then recursively divides
the box to a desired precision.

### Usage

```
rbox(cut=0.8, type="tree", ll, ur)
```

### Arguments

`type` |
If |

`cut` |
Precision of the tree; a smaller value of |

`ll` |
Lower left corner of the initial cell. Length should be the number
of dimensions of the data provided to |

`ur` |
Upper right corner of the initial cell. By default, |

### References

Loader, C. (1999). Local Regression and Likelihood. Springer, New York.

Cleveland, W. and Grosse, E. (1991). Computational Methods for Local Regression. Statistics and Computing 1.

### Examples

```
data(ethanol, package="locfit")
plot.eval(locfit(NOx~E+C,data=ethanol,scale=0,ev=rbox(cut=0.8)))
plot.eval(locfit(NOx~E+C,data=ethanol,scale=0,ev=rbox(cut=0.3)))
```

*locfit*version 1.5-9.10 Index]