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QFASA Robustness to Assumption Violations: Computer Code

Software Repository | Metadata | AK Science Portal | Project Site | Date Range: 2015 - 2015


Quantitative fatty acid signature analysis (QFASA) is a common method of estimating diet composition, especially for marine mammals, but the performance of the method has received limited investigation. Bromaghin et al. (2016) used computer simulation to compare the bias of several QFASA estimators and developed recommendations regarding estimator selection. Simulations were performed using an R script to call a dll file compiled from Fortran code (EstDiet.dll) to perform the necessary optimization. An example R script and the Fortran subroutines needed to compile the dll are included. This code documents the methods of Bromaghin et al. (2016) and could be adapted to similar problems with some customization as needed.

Author(s): Bromaghin, J. F.

Suggested Citation:
Bromaghin, J. F., 2015, QFASA Robustness to Assumption Violations: Computer Code: U.S. Geological Survey software release, https://doi.org/10.5066/F7N877TK.

Referenced Publication(s):

Bromaghin, J. F., S. M. Budge, G. W. Thiemann, and K. D. Rode. 2016. Assessing the robustness of quantitative fatty acid signature analysis to assumption violations. Methods in Ecology and Evolution 7(1):51-59. doi:10.1111/2041-210X.12456


DataID: 153 | doi:10.5066/F7N877TK | Date Posted Online: 2015-07-23 | Last Updated: 2022-12-09 14:51:26

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