Package: MixSIAR 3.1.12

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.zip(r-4.7)MixSIAR_3.1.12.zip(r-4.6)MixSIAR_3.1.12.zip(r-4.5)
MixSIAR_3.1.12.tgz(r-4.6-any)MixSIAR_3.1.12.tgz(r-4.5-any)
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://brianstock.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

9.41 score 122 stars 150 scripts 896 downloads 58 mentions 21 exports 69 dependencies

Last updated from:037978f3de. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK155
source / vignettesOK209
linux-release-x86_64OK152
macos-release-arm64OK160
macos-oldrel-arm64OK157
windows-develOK110
windows-releaseOK118
windows-oldrelOK103
wasm-releaseOK132

Exports:calc_areacombine_sourcescompare_modelsload_discr_dataload_mix_dataload_source_dataoutput_diagnosticsoutput_JAGSoutput_pairsoutput_posteriorsoutput_statsoutput_xyplot_continuous_varplot_dataplot_data_one_isoplot_data_two_isoplot_intervalsplot_priorrun_modelsummary_statwrite_JAGS_model

Dependencies:abindbackportsbayesplotbootcheckmateclicodacpp11crayondistributionaldplyrfarverforcatsgenericsGGallyggmcmcggplot2ggridgesggstatsgluegtablehmsisobandlabelinglatticelifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpacknumDerivpatchworkpillarpkgconfigplyrposteriorprettyunitsprogresspurrrquantregR2jagsR2WinBUGSR6RColorBrewerRcppreshapereshape2rjagsrlangS7scalesspSparseMsplancsstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Ex 1: Wolves

Rendered fromwolves_ex.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2020-10-16
Started: 2016-03-07

Ex 2: Geese

Rendered fromgeese_ex.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2020-10-16
Started: 2016-03-11

Ex 3: Lake

Rendered fromlake_ex.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2020-10-16
Started: 2016-03-11

Ex 4: Killer Whale

Rendered fromkillerwhale_ex.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2020-10-16
Started: 2016-03-11

Ex 5: Isopod

Rendered fromisopod_ex.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2020-10-16
Started: 2016-03-11

Ex 6: Cladocera

Rendered fromcladocera_ex.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2020-10-16
Started: 2016-03-11

Modifying MixSIAR plots

Rendered frommodify_output.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2020-10-20
Started: 2020-10-19