Separates significant boundary constraints in a dataset from illusions. A modified permutation test is applied using the no-data zone areas above the top-left, top-right, bottom-right and bottom-left boundary lines as test statistics. The observed no-data zone areas are compared to the distribution of the random permutations to calculate a p-value for each boundary line. An article detailing the methodologies and rationale is currently in preparation.
|Author||Ruan de Wet and Dirk Snyman|
|Maintainer||Ruan de Wet <[email protected]>|
|Package repository||View on CRAN|
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