Single-isoscape Analysis | Multi-isoscape Analysis | Post-hoc Analysis | Odds Ratio | Distance and Direction | Assignment | Summarization | Quality Analysis
Package: assignR 2.4.3
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:
assignR_2.4.3.tar.gz
assignR_2.4.3.zip(r-4.7)assignR_2.4.3.zip(r-4.6)assignR_2.4.3.zip(r-4.5)
assignR_2.4.3.tgz(r-4.6-any)assignR_2.4.3.tgz(r-4.5-any)
assignR_2.4.3.tar.gz(r-4.7-any)assignR_2.4.3.tar.gz(r-4.6-any)
assignR_2.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
assignR/json (API)
| # Install 'assignR' in R: |
| install.packages('assignR', repos = c('https://bumbanian.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- 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 from:be770e1323. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 251 | ||
| source / vignettes | OK | 307 | ||
| linux-release-x86_64 | OK | 227 | ||
| macos-release-arm64 | OK | 247 | ||
| macos-oldrel-arm64 | OK | 260 | ||
| windows-devel | OK | 247 | ||
| windows-release | OK | 240 | ||
| windows-oldrel | OK | 213 | ||
| wasm-release | OK | 136 |
Exports:calRastergetIsoscapesisoStackjointPoddsRatiopdRasterQAqtlRasterrefTranssubOrigDataunionPwDist
