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.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: ggplot2, raster, rlang, scales, sp, statmod, tidyr, dplyr, stringr, DescTools, devtools, usethis
Suggests: testthat, knitr, rmarkdown
Published: 2020-01-10
Author: Ruan de Wet and Dirk Snyman
Maintainer: Ruan de Wet <ruan.de.wet at c4es.co.za>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: sobir results

Downloads:

Reference manual: sobir.pdf
Vignettes: getstarted
Package source: sobir_0.1.2.tar.gz
Windows binaries: r-devel: sobir_0.1.2.zip, r-release: sobir_0.1.2.zip, r-oldrel: sobir_0.1.2.zip
macOS binaries: r-release: sobir_0.1.2.tgz, r-oldrel: sobir_0.1.2.tgz
Old sources: sobir archive

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