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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:2.4.3
Depends:R (≥ 4.0)
Imports:mvnfast,rlang,geosphere,terra (≥ 1.7-23)
Suggests:knitr,rmarkdown,testthat,covr
Published:2024-12-04
DOI:10.32614/CRAN.package.assignR
Author:Chao Ma [aut], Gabe Bowen [aut, cre]
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.html ,assignR.pdf
Vignettes:assignR Examples (source,R code)

Downloads:

Package source: assignR_2.4.3.tar.gz
Windows binaries: r-devel:assignR_2.4.3.zip, r-release:assignR_2.4.3.zip, r-oldrel:assignR_2.4.3.zip
macOS binaries: r-release (arm64):assignR_2.4.3.tgz, r-oldrel (arm64):assignR_2.4.3.tgz, r-release (x86_64):assignR_2.4.3.tgz, r-oldrel (x86_64):assignR_2.4.3.tgz
Old sources: assignR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=assignRto link to this page.


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