tree (version 1.0-31)

tree.control: Select Parameters for Tree

Description

A utility function for use with the control argument of tree.

Usage

tree.control(nobs, mincut = 5, minsize = 10, mindev = 0.01)

Arguments

nobs

The number of observations in the training set.

mincut

The minimum number of observations to include in either child node. This is a weighted quantity; the observational weights are used to compute the number. The default is 5.

minsize

The smallest allowed node size: a weighted quantity. The default is 10.

mindev

The within-node deviance must be at least this times that of the root node for the node to be split.

Value

• A list:
• mincut
  The maximum of the input or default mincut and 1
• minsize
  The maximum of the input or default minsize and 2.
• nmax
  A estimate of the maximum number of nodes that might be grown.
• nobs
  The input nobs.

Details

This function produces default values of mincut and minsize, and ensures that mincut is at most half minsize.

To produce a tree that fits the data perfectly, set mindev = 0 and minsize = 2, if the limit on tree depth allows such a tree.

See Also

tree