Package: EcoDiet 2.0.1

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.

Authors:Pierre-Yves Hernvann [cre, aut], Didier Gascuel [aut], Dorothee Kopp [aut], Marianne Robert [aut], Jerome Guitton [aut], Etienne Rivot [aut], Heloise Thero [aut]

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EcoDiet.pdf |EcoDiet.html
EcoDiet/json (API)
NEWS

# Install 'EcoDiet' in R:
install.packages('EcoDiet', repos = c('https://pyhernvann.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pyhernvann/ecodiet/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

7 exports 4 stars 1.50 score 61 dependencies 12 scripts 809 downloads

Last updated 6 months agofrom:53249fd293. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:diagnose_modelplot_dataplot_priorplot_resultspreprocess_datarun_modelwrite_model

Dependencies:backportsbitbit64broombroom.helpersclicliprcodacolorspacecpp11crayondplyrfansifarverforcatsgenericsGGallyggmcmcggplot2ggstatsgluegtablehavenhmsisobandjagsUIlabelinglabelledlatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppreadrrjagsrlangscalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr

Introduction - How to use EcoDiet

Rendered fromintroduction_EcoDiet.Rmdusingknitr::rmarkdownon Aug 22 2024.

Last update: 2023-11-14
Started: 2020-02-06

EcoDiet explored on a realistic example

Rendered fromrealistic_example.Rmdusingknitr::rmarkdownon Aug 22 2024.

Last update: 2023-11-14
Started: 2020-01-22

How to deal with convergence problems

Rendered fromconvergence_problems.Rmdusingknitr::rmarkdownon Aug 22 2024.

Last update: 2022-12-29
Started: 2019-12-05