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qfasar: Quantitative Fatty Acid Signature Analysis in R

An implementation of Quantitative Fatty Acid Signature Analysis (QFASA) in R. QFASA is a method of estimating the diet composition of predators. The fundamental unit of information in QFASA is a fatty acid signature (signature), which is a vector of proportions describing the composition of fatty acids within lipids. Signature data from at least one predator and from samples of all potential prey types are required. Calibration coefficients, which adjust for the differential metabolism of individual fatty acids by predators, are also required. Given those data inputs, a predator signature is modeled as a mixture of prey signatures and its diet estimate is obtained as the mixture that minimizes a measure of distance between the observed and modeled signatures. A variety of estimation options and simulation capabilities are implemented. Please refer to the vignette for additional details and references.

Version: 1.2.1
Imports: Rsolnp (≥ 1.16)
Suggests: knitr, rmarkdown, testthat
Published: 2020-03-19
DOI: 10.32614/CRAN.package.qfasar
Author: Jeffrey F. Bromaghin [aut, cre]
Maintainer: Jeffrey F. Bromaghin <jbromaghin at usgs.gov>
License: Unlimited
NeedsCompilation: no
CRAN checks: qfasar results

Documentation:

Reference manual: qfasar.pdf
Vignettes: qfasar

Downloads:

Package source: qfasar_1.2.1.tar.gz
Windows binaries: r-devel: qfasar_1.2.1.zip, r-release: qfasar_1.2.1.zip, r-oldrel: qfasar_1.2.1.zip
macOS binaries: r-release (arm64): qfasar_1.2.1.tgz, r-oldrel (arm64): qfasar_1.2.1.tgz, r-release (x86_64): qfasar_1.2.1.tgz, r-oldrel (x86_64): qfasar_1.2.1.tgz
Old sources: qfasar archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.