rKIN: (Kernel) Isotope Niche Estimation

Applies methods used to estimate animal homerange, but instead of geospatial coordinates, we use isotopic coordinates. The estimation methods include: 1) 2-dimensional bivariate normal kernel utilization density estimator, 2) bivariate normal ellipse estimator, and 3) minimum convex polygon estimator, all applied to stable isotope data. Additionally, functions to determine niche area, polygon overlap between groups and levels (confidence contours) and plotting capabilities.

Version: 1.0.2
Depends: R (≥ 3.0), ks, sf
Imports: ggplot2, MASS, RColorBrewer, randomcoloR, shades, dplyr
Suggests: knitr, rmarkdown, testthat
Published: 2023-10-02
Author: Shannon E Albeke [aut, cre]
Maintainer: Shannon E Albeke <salbeke at uwyo.edu>
BugReports: https://github.com/salbeke/rKIN/issues
License: GPL (≥ 3)
URL: https://github.com/salbeke/rKIN
NeedsCompilation: no
Materials: README
CRAN checks: rKIN results

Documentation:

Reference manual: rKIN.pdf
Vignettes: Introduction to rKIN (Kernel Isotope Niche)

Downloads:

Package source: rKIN_1.0.2.tar.gz
Windows binaries: r-devel: rKIN_1.0.2.zip, r-release: rKIN_1.0.2.zip, r-oldrel: rKIN_1.0.2.zip
macOS binaries: r-release (arm64): rKIN_1.0.2.tgz, r-oldrel (arm64): rKIN_1.0.2.tgz, r-release (x86_64): rKIN_1.0.2.tgz
Old sources: rKIN archive

Linking:

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