Package: assignR 2.4.3

Gabe Bowen

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:Chao Ma [aut], Gabe Bowen [aut, cre]

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assignR/json (API)
NEWS

# Install 'assignR' in R:
install.packages('assignR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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.

3.46 score 29 scripts 460 downloads 1 mentions 12 exports 9 dependencies

Last updated 22 days agofrom:be770e1323. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxOKDec 04 2024

Exports:calRastergetIsoscapesisoStackjointPoddsRatiopdRasterQAqtlRasterrefTranssubOrigDataunionPwDist

Dependencies:BHgeospherelatticemvnfastRcppRcppArmadillorlangspterra

assignR Examples

Gabe Bowen, Chao Ma

Rendered fromassignR.Rmdusingknitr::rmarkdownon Dec 04 2024.

Last update: 2023-06-06
Started: 2019-11-06