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sobir: Significance of Boundaries
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.
Getting started
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Package details |
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| Author | Ruan de Wet and Dirk Snyman |
| Maintainer | Ruan de Wet <ruan.de.wet@c4es.co.za> |
| License | GPL-3 |
| Version | 0.1.2 |
| Package repository | View on CRAN |
| Installation |
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