sid_p: Calculate the p-values for a list of trees.
In bwrc/astrid-r: Automatic STructure IDentification

Calculate the p-value for a list of trees (groupings).

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sid_p(data_train, data_test, tree_list, g0 = NULL, classifier = svm,
  Rmin = 250, Rmax = 500, alpha = 0.05, z = 2.57, parallel = TRUE,
  early_stopping = FALSE)

`data_train`	Training data.
`data_test`	Testing data.
`tree_list`	List of trees.
`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.
`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.
`parallel`	Calculate in parallel (Boolean, default is `TRUE`).
`early_stopping`	Use early stopping. Default is `FALSE` in which case Rmin samples are used to calculate p-values. If `TRUE` at least Rmin and at most Rmax values are used. '