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.zip(r-4.7-any)MixSIAR_3.1.12.zip(r-4.6-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✨
DESCRIPTION |NEWS
card.svg |card.png
MixSIAR/json (API)

# 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
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

jagscpp

6.22 score 1 packages 185 scripts 787 downloads 58 mentions 16 exports 71 dependencies

Last updated from:01ee546e42. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK145
source / vignettesOK210
linux-releaseOK154
windows-develOK97
windows-releaseOK83
wasm-releaseOK113

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:abindbackportsbayesplotbootcheckmateclicodacpp11crayondistributionaldplyrfarverforcatsgenericsGGallyggdistggmcmcggplot2ggridgesggstatsgluegtablehmsisobandlabelinglatticelifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpacknumDerivpatchworkpillarpkgconfigplyrposteriorprettyunitsprogresspurrrquadprogquantregR2jagsR2WinBUGSR6RColorBrewerRcppreshapereshape2rjagsrlangS7scalesspSparseMsplancsstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Ex 1: Wolves
Wolves Example | Load MixSIAR package | Load mixture data | Load source data | Load discrimination data | Plot data | Calculate convex hull area | Plot prior | Write JAGS model file | Run model | Analyze diagnostics and output

Last update: 2020-10-20
Started: 2016-06-25

Ex 2: Geese
Geese Example | Load MixSIAR package | Load mixture data | Load source data | Load discrimination data | Plot data | Calculate convex hull area | Plot prior | Write JAGS model file | Run model | Analyze diagnostics and output

Last update: 2020-10-20
Started: 2016-06-25

Ex 3: Lake
Lake Example | Load MixSIAR package | Load mixture data | Load source data | Load discrimination data | Plot data | Calculate convex hull area | Plot prior | Write JAGS model file | Run model | Analyze diagnostics and output

Last update: 2020-10-20
Started: 2016-06-25

Ex 4: Killer Whale
Killer Whale Example | Load MixSIAR package | Load mixture data | Load source data | Load discrimination data | Plot data | Run the model with uninformative prior | Run the model with informative prior

Last update: 2020-10-20
Started: 2016-06-25

Ex 5: Isopod
Isopod Example | Load MixSIAR package | Load mixture data | Load source data | Load discrimination data | Plot data | Plot prior | Write JAGS model file | Run model | Analyze diagnostics and output

Last update: 2020-10-20
Started: 2016-06-25

Ex 6: Cladocera
Cladocera Example | Load MixSIAR package | Load mixture data | Load source data | Load discrimination data | Plot data | Plot prior | Write JAGS model file | Run model | Analyze diagnostics and output

Last update: 2020-10-20
Started: 2016-06-25