sid_prune_singletons: Prune singletons from tree.

In bwrc/astrid-r: Automatic STructure IDentification

Description

Prune singletons from tree.

Usage

sid_prune_singletons(tree_res, data_train, data_test, classifier = svm,
  R = 100, Rmin = 250, Rmax = 500, z = 2.57, alpha = 0.05,
  parallel = TRUE)

Arguments

tree_res	A tree results structure.
data_train	Training data.
data_test	Testing data.
classifier	A classifier function, default is svm (from the e1071 package).
R	Number of replications. Default is 100.
Rmin	Ninimum number of replications for calculating p-values. Default is 250.
Rmax	Maximum number of replications for calculating p-values. Default is 500.
z	Parameter for confidence band. Use 1.96 for 95 percent, 2.25 for 97.5 percent and 2.57 for 99 percent. Default is 2.57.
alpha	Significance level (default is 0.05).
parallel	Calculate in parallel (Boolean, default is TRUE).

Value

The pruned tree results structure.

bwrc/astrid-r documentation built on May 13, 2019, 9:08 a.m.