The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

EcoDiet: Estimating a Diet Matrix from Biotracer and Stomach Content Data

Biotracers and stomach content analyses are combined in a Bayesian hierarchical model to estimate a probabilistic topology matrix (all trophic link probabilities) and a diet matrix (all diet proportions). The package relies on the JAGS software and the 'jagsUI' package to run a Markov chain Monte Carlo approximation of the different variables.

Version: 2.0.1
Depends: R (≥ 3.5)
Imports: ggplot2 (≥ 3.2), coda (≥ 0.19), stats (≥ 3.6), utils (≥ 3.6), jagsUI (≥ 1.5.2), ggmcmc (≥ 1.1)
Suggests: knitr, rmarkdown, devtools, testthat (≥ 3.0.0)
Published: 2024-03-25
DOI: 10.32614/CRAN.package.EcoDiet
Author: Pierre-Yves Hernvann [cre, aut], Didier Gascuel [aut], Dorothee Kopp [aut], Marianne Robert [aut], Jerome Guitton [aut], Etienne Rivot [aut], Heloise Thero [aut]
Maintainer: Pierre-Yves Hernvann <pierre.yves.hernvann at gmail.com>
BugReports: https://github.com/pyhernvann/EcoDiet/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/pyhernvann/EcoDiet
NeedsCompilation: no
SystemRequirements: JAGS (>= 4.3)
Citation: EcoDiet citation info
Materials: README NEWS
CRAN checks: EcoDiet results

Documentation:

Reference manual: EcoDiet.pdf
Vignettes: 3. How to deal with convergence problems
1. Introduction - How to use EcoDiet
2. EcoDiet explored on a realistic example

Downloads:

Package source: EcoDiet_2.0.1.tar.gz
Windows binaries: r-devel: EcoDiet_2.0.1.zip, r-release: EcoDiet_2.0.1.zip, r-oldrel: EcoDiet_2.0.1.zip
macOS binaries: r-release (arm64): EcoDiet_2.0.1.tgz, r-oldrel (arm64): EcoDiet_2.0.1.tgz, r-release (x86_64): EcoDiet_2.0.1.tgz, r-oldrel (x86_64): EcoDiet_2.0.1.tgz
Old sources: EcoDiet archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EcoDiet to link to this page.

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.