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QFASA  

Quantitative Fatty Acid Signature Analysis
View on CRAN: Click here


Download and install QFASA package within the R console
Install from CRAN:
install.packages("QFASA")

Install from Github:
library("remotes")
install_github("cran/QFASA")

Install by package version:
library("remotes")
install_version("QFASA", "1.2.0")



Attach the package and use:
library("QFASA")
Maintained by
Connie Stewart
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-27
Latest Update: 2023-11-16
Description:
Accurate estimates of the diets of predators are required in many areas of ecology, but for many species current methods are imprecise, limited to the last meal, and often biased. The diversity of fatty acids and their patterns in organisms, coupled with the narrow limitations on their biosynthesis, properties of digestion in monogastric animals, and the prevalence of large storage reservoirs of lipid in many predators, led to the development of quantitative fatty acid signature analysis (QFASA) to study predator diets.
How to cite:
Connie Stewart (2016). QFASA: Quantitative Fatty Acid Signature Analysis. R package version 1.2.0, https://cran.r-project.org/web/packages/QFASA
Previous versions and publish date:
1.0.0 (2016-05-27 15:46), 1.0.1 (2016-06-15 22:02), 1.0.2 (2016-10-29 13:06), 1.0.3 (2019-06-14 19:22), 1.1.0 (2021-06-10 23:50), 1.1.1 (2021-07-20 21:20), 1.1.2 (2022-10-19 02:17)
Other packages that cited QFASA R package
View QFASA citation profile
Other R packages that QFASA depends, imports, suggests or enhances
Functions, R codes and Examples using the QFASA R package
Some associated functions: AIT.dist . AIT.more . AITj . CC . CS.more . CSj . FAset . KL.dist . KL.more . KLj . MEANmeth . POOLVARmeth . QFASA.const.eqn . QFASA . Tstar.beta . bal.diet.data . bal.rep.CI . beta.meths.CI . beta.pval.k . bias.all . bias.comp . bisect.beta.lim . chisq.CA . chisq.dist . comp.Tstar.beta . comp.beta.pval.k . comp.gen.pseudo.seals . comp.p.beta . comp.rep . conf.meth . create.d.mat . cs_distance.mat . data.sim.beta . dummy . gen.pseudo.seals . mean.geometric . mod.zeros.FA.sig.mat . mod.zeros.FA.sig . multiplicativeReplacement . opt.beta.lim . p.MLE . p.MUFASA . p.QFASA . p.SMUFASA . p.beta . p.sim.QFASA . predatorFAs . prey.cluster . prey.on.prey . preyFAs . pseudo.pred.norm . pseudo.pred . pseudo.pred.rep . pseudo.pred.table . pseudo.seal . rho.boot.fun . rho.jack.fun . root.beta . split.prey . testfordiff.ind.boot.fun . testfordiff.ind.boot . testfordiff.ind.pval . two.factor.rep . unbal.diet.data . unbal.rep.CI . unbal.rho.boot.fun . unbal.rho.jack.fun . unbal.two.factor.rep . uniroot.beta . 
Some associated R codes: All_CI_Code.R . All_MUFASA_Code.R . All_Rep_Code.R . All_Simplified_MUFASA_Code.R . All_SimultaneousEst_MUFASA_Code.R . CC.R . Confidence_Interval_Beta_Distribution.R . FAset.R . Prey_Cluster.R . Simultaneous_Estimation_of_CCs.R . bal.diet.data.R . predatorFAs.R . prey.on.prey.R . preyFAs.R . pseudo.pred.R . qfasa.R . unbal.diet.data.R .  Full QFASA package functions and examples
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