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

Documentation:

Reference manual:	sobir.pdf
Vignettes:	getstarted

Downloads:

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 (arm64): sobir_0.1.2.tgz, r-release (x86_64): sobir_0.1.2.tgz, r-oldrel: sobir_0.1.2.tgz
Old sources:	sobir archive

Linking:

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