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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 |
| Reference manual: | assignR.pdf |
| Vignettes: |
assignR Examples (source, R code) |
| 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 |
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These binaries (installable software) and packages are in development.
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