Package: assignR 2.4.1
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>.
Authors:
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NEWS
| # Install 'assignR' in R: |
| install.packages('assignR', repos = c('https://bumbanian.r-universe.dev', 'https://cloud.r-project.org')) |
- stds - Data: documentation of keratin H and O isotope standard calibrations
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:cfdac243c6. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 28 2024 |
| R-4.5-win | OK | Oct 28 2024 |
| R-4.5-linux | OK | Oct 28 2024 |
| R-4.4-win | OK | Oct 28 2024 |
| R-4.4-mac | OK | Oct 28 2024 |
| R-4.3-win | OK | Oct 28 2024 |
| R-4.3-mac | OK | Oct 28 2024 |
Exports:calRastergetIsoscapesisoStackjointPoddsRatiopdRasterQAqtlRasterrefTranssubOrigDataunionPwDist
Dependencies:BHgeospherelatticemvnfastRcppRcppArmadillorlangspterra
