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QFASA Robustness to Assumption Violations: Computer Code

December 12, 2022

Quantitative fatty acid signature analysis (QFASA; Iverson et al. 2004) has become a common method of estimating diet composition, especially for marine mammals, but the performance of the method has received limited investigation. Bromaghin et al. (In press) used computer simulation to compare the bias of several QFASA estimators and developed recommendations regarding estimator selection. Simulations were performed using a combination of R and Fortran code. An R script was used to prepare data inputs, call EstDiet.dll to estimate diet composition given data inputs, and organize estimation results. The R script file and all Fortran functions and subroutines associated with the dll file are included in the zip file available below. The R script was developed using R 3.1.2 (http://cran.r-project.org/) and the dll file was compiled using the Intel Parallel Studio XE 2013 Fortran Compiler, professional edition (https://software.intel.com/en-us/intel-parallel-studio-xe). Bromaghin et al. (2015) used the same dll file to estimate diet composition.

Citation Information

Publication Year 2022
Title QFASA Robustness to Assumption Violations: Computer Code
DOI 10.5066/F7N877TK
Authors J. F. Bromaghin
Product Type Software Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Alaska Science Center

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