eval.cart {delt} | R Documentation |

## Calculates a CART histogram

### Description

Calculates a CART histogram.
The estimate is represented as an evaluation tree.
An CART histogram is a multivariate adaptive histogram
which is obtained by pruning an evaluation tree of an overfitting
histogram.

### Usage

eval.cart(dendat, leaf, minobs = NULL)

### Arguments

`dendat` |
n*d data matrix |

`leaf` |
positive integer; the cardinality of the partition of the
histogram |

`minobs` |
non-negative integer; splitting of a bin of the overfitting
histogram will be continued if
the bin containes "minobs" or more observations |

### Details

The partition of the histogram may not contain exactly "leaf"
rectangles: the cardinality of the partition is as close as possible
to "leaf"

### Value

An evaluation tree

### Author(s)

Jussi Klemela

### See Also

`lstseq.cart`

,
`densplit`

### Examples

dendat<-sim.data(n=600,seed=5,type="mulmodII")
eva<-eval.cart(dendat,16)
dp<-draw.pcf(eva,pnum=c(60,60))
persp(dp$x,dp$y,dp$z,theta=-20,phi=30)

[Package

*delt* version 0.8.0

Index]