assignR: Infer Geographic Origin from Isotopic Data

Routines for re-scaling isotope maps using known-origin tissue isotope data, assigning origin of unknown samples, and summarizing and assessing assignment results. Methods are adapted from Wunder (2010, in ISBN:9789048133536) and Vander Zanden, H. B. et al. (2014) <doi:10.1111/2041-210X.12229> as described in Ma, C. et al. (2020) <doi:10.1111/2041-210X.13426>.

Version: 2.1.1
Depends: R (≥ 3.5)
Imports: raster, sp, rgdal, maptools, mvnfast, rlang
Suggests: knitr, rmarkdown, testthat, covr
Published: 2021-06-22
Author: Chao Ma, Gabe Bowen
Maintainer: Gabe Bowen <gabe.bowen at utah.edu>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: assignR citation info
Materials: README NEWS
CRAN checks: assignR results

Documentation:

Reference manual: assignR.pdf
Vignettes: assignR Examples

Downloads:

Package source: assignR_2.1.1.tar.gz
Windows binaries: r-devel: assignR_2.1.1.zip, r-release: assignR_2.1.1.zip, r-oldrel: assignR_2.1.1.zip
macOS binaries: r-release (arm64): assignR_2.1.1.tgz, r-release (x86_64): assignR_2.1.1.tgz, r-oldrel: assignR_2.1.1.tgz
Old sources: assignR archive

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