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- W2580941036 abstract "Summary Knowledge of predator diets provides essential insights into their ecology, yet diet estimation is challenging and remains an active area of research. Quantitative fatty acid signature analysis (QFASA) is a popular method of estimating diet composition that continues to be investigated and extended. However, software to implement QFASA has only recently become publicly available. I summarize a new R package, qfasar , for diet estimation using QFASA methods. The package also provides functionality to evaluate and potentially improve the performance of a library of prey signature data, compute goodness‐of‐fit diagnostics, and support simulation‐based research. Several procedures in the package have not previously been published. qfasar makes traditional and recently published QFASA diet estimation methods accessible to ecologists for the first time. Use of the package is illustrated with signature data from Chukchi Sea polar bears and potential prey species." @default.
- W2580941036 created "2017-02-03" @default.
- W2580941036 creator A5044397044 @default.
- W2580941036 date "2017-02-18" @default.
- W2580941036 modified "2023-10-09" @default.
- W2580941036 title "<scp>qfasar</scp>: quantitative fatty acid signature analysis with R" @default.
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- W2580941036 doi "https://doi.org/10.1111/2041-210x.12740" @default.
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