Package: MixSIAR 3.1.12

Brian Stock

MixSIAR: Bayesian Mixing Models in R

Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fatty acids), which estimate the proportions of source (prey) contributions to a mixture (consumer). 'MixSIAR' is not one model, but a framework that allows a user to create a mixing model based on their data structure and research questions, via options for fixed/ random effects, source data types, priors, and error terms. 'MixSIAR' incorporates several years of advances since 'MixSIR' and 'SIAR'.

Authors:Brian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb]

MixSIAR_3.1.12.tar.gz
MixSIAR_3.1.12.tar.gz(r-4.7-any)MixSIAR_3.1.12.tar.gz(r-4.6-any)
MixSIAR_3.1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MixSIAR/json (API)
NEWS

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

Bug tracker:https://github.com/brianstock/mixsiar/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

jagscpp

5.71 score 170 scripts 912 downloads 58 mentions 16 exports 69 dependencies

Last updated from:01ee546e42. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK155
source / vignettesOK217
linux-release-x86_64OK161
wasm-releaseOK161

Exports:calc_areacombine_sourcescompare_modelsload_discr_dataload_mix_dataload_source_dataoutput_JAGSplot_continuous_varplot_dataplot_data_one_isoplot_data_two_isoplot_intervalsplot_priorrun_modelsummary_statwrite_JAGS_model

Dependencies:abindbackportsbayesplotbootcheckmateclicodacpp11crayondistributionaldplyrfarverforcatsgenericsGGallyggmcmcggplot2ggridgesggstatsgluegtablehmsisobandlabelinglatticelifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpacknumDerivpatchworkpillarpkgconfigplyrposteriorprettyunitsprogresspurrrquantregR2jagsR2WinBUGSR6RColorBrewerRcppreshapereshape2rjagsrlangS7scalesspSparseMsplancsstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Ex 1: Wolves

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Ex 2: Geese

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Ex 3: Lake

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Ex 4: Killer Whale

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Ex 5: Isopod

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Ex 6: Cladocera

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