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-4.5-noble)MixSIAR_3.1.12.tar.gz(r-4.4-noble)
MixSIAR_3.1.12.tgz(r-4.4-emscripten)MixSIAR_3.1.12.tgz(r-4.3-emscripten)
MixSIAR.pdf |MixSIAR.html
MixSIAR/json (API)
NEWS

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

Peer review:

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

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

5.53 score 114 scripts 798 downloads 58 mentions 16 exports 73 dependencies

Last updated 4 years agofrom:01ee546e42. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-linuxOKNov 01 2024

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:abindbackportsbayesplotbootcheckmateclicodacolorspacecpp11crayondistributionaldplyrfansifarverforcatsgenericsGGallyggmcmcggplot2ggridgesggstatsgluegtablehmsisobandlabelinglatticelifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvmunsellnlmenumDerivpatchworkpillarpkgconfigplyrposteriorprettyunitsprogresspurrrquantregR2jagsR2WinBUGSR6RColorBrewerRcppreshapereshape2rjagsrlangscalesspSparseMsplancsstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

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