Package: MixSIAR
Title: Bayesian Mixing Models in R
Version: 3.1.12
Authors@R: c(
    person("Brian", "Stock", email = "bstock09@gmail.com", role = c("cre","aut")),
    person("Brice", "Semmens", email = "semmens@ucsd.edu", role = "aut"),
    person("Eric", "Ward", role = "ctb"),
    person("Andrew", "Parnell", role = "ctb"),
    person("Andrew", "Jackson", role = "ctb"),
    person("Donald", "Phillips", role = "ctb"))
Description: 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'.
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
SystemRequirements: JAGS (>= 4.3)
URL: https://github.com/brianstock/MixSIAR
BugReports: https://github.com/brianstock/MixSIAR/issues
Encoding: UTF-8
License: GPL-3
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-16 19:46:39 UTC; brian
Author: Brian Stock [cre, aut],
  Brice Semmens [aut],
  Eric Ward [ctb],
  Andrew Parnell [ctb],
  Andrew Jackson [ctb],
  Donald Phillips [ctb]
Maintainer: Brian Stock <bstock09@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-20 07:00:44 UTC
Built: R 4.3.0; ; 2023-07-10 07:10:44 UTC; unix
