sid_p_tree_es: Calculate the p-value for a tree (using early stopping)

In bwrc/astrid-r: Automatic STructure IDentification

Description

Calculate the p-value for a tree (grouping).

Usage

sid_p_tree_es(data_train, data_test, tree, g0 = NULL, classifier = svm,
  Rmin = 250, Rmax = 500, parallel = TRUE, return_raw = FALSE,
  alpha = 0.05, z = 2.57)

Arguments

data_train	Training data.
data_test	Testing data.
tree	The tree
g0	The Baseline goodness, if known. Can be NULL (default).
classifier	A classifier function, default is svm (from the e1071 package).
Rmin	Ninimum number of replications. Default is 250.
Rmax	Maximum number of replications. Default is 500.
parallel	Calculate in parallel (Boolean, default is TRUE).
return_raw	Return raw data used in the p-value calculation (Boolean, default is FALSE.
alpha	The confidence level at which we are evaluating statistical significance of the tree.
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.

Value

The p-value for the tree

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