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:	2.2.1
Depends:	R (≥ 3.5)
Imports:	raster, sp, rgdal, maptools, mvnfast, rlang, geosphere
Suggests:	knitr, rmarkdown, testthat, covr
Published:	2022-07-11
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_2.2.1.tar.gz
Windows binaries:	r-devel: assignR_2.2.1.zip, r-release: assignR_2.2.1.zip, r-oldrel: assignR_2.2.1.zip
macOS binaries:	r-release (arm64): assignR_2.2.1.tgz, r-oldrel (arm64): assignR_2.2.1.tgz, r-release (x86_64): assignR_2.2.1.tgz, r-oldrel (x86_64): assignR_2.2.1.tgz
Old sources:	assignR archive

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