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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'.
Version: | 3.1.12 |
Depends: | R (≥ 3.6.0) |
Imports: | ggplot2 (≥ 3.3.0), R2jags (≥ 0.5-7), MASS (≥ 7.3), RColorBrewer (≥ 1.1), reshape (≥ 0.8.7), reshape2 (≥ 1.4.3), lattice (≥ 0.20-35), MCMCpack (≥ 1.4-2), ggmcmc (≥ 1.1), coda (≥ 0.19-1), loo (≥ 2.0.0), bayesplot (≥ 1.4.0), splancs (≥ 2.01-40) |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2020-10-20 |
DOI: | 10.32614/CRAN.package.MixSIAR |
Author: | Brian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb] |
Maintainer: | Brian Stock <bstock09 at gmail.com> |
BugReports: | https://github.com/brianstock/MixSIAR/issues |
License: | GPL-3 |
URL: | https://github.com/brianstock/MixSIAR |
NeedsCompilation: | no |
SystemRequirements: | JAGS (>= 4.3) |
Citation: | MixSIAR citation info |
Materials: | README NEWS |
CRAN checks: | MixSIAR results |
Reference manual: | MixSIAR.pdf |
Vignettes: |
Ex 6: Cladocera Ex 2: Geese Ex 5: Isopod Ex 4: Killer Whale Ex 3: Lake Ex 1: Wolves |
Package source: | MixSIAR_3.1.12.tar.gz |
Windows binaries: | r-devel: MixSIAR_3.1.12.zip, r-release: MixSIAR_3.1.12.zip, r-oldrel: MixSIAR_3.1.12.zip |
macOS binaries: | r-release (arm64): MixSIAR_3.1.12.tgz, r-oldrel (arm64): MixSIAR_3.1.12.tgz, r-release (x86_64): MixSIAR_3.1.12.tgz, r-oldrel (x86_64): MixSIAR_3.1.12.tgz |
Old sources: | MixSIAR archive |
Please use the canonical form https://CRAN.R-project.org/package=MixSIAR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.