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  "Description": "Fits Stable Isotope Mixing Models (SIMMs) and is meant as\na longer term replacement to the previous widely-used package\nSIAR. SIMMs are used to infer dietary proportions of organisms\nconsuming various food sources from observations on the stable\nisotope values taken from the organisms' tissue samples.\nHowever SIMMs can also be used in other scenarios, such as in\nsediment mixing or the composition of fatty acids. The main\nfunctions are simmr_load() and simmr_mcmc(). The two vignettes\ncontain a quick start and a full listing of all the features.\nThe methods used are detailed in the papers Parnell et al 2010\n<doi:10.1371/journal.pone.0009672>, and Parnell et al 2013\n<doi:10.1002/env.2221>.",
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      "title": "Compare dietary proportions for a single source across different groups",
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        "Introduction",
        "A basic simmr run",
        "Customisation of iso-space plots",
        "Customisation of output plots",
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        "Step 1: install simmr",
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        "Step 3: load the data into simmr",
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      "title": "Stable Isotope Mixing Models in R with simmr",
      "author": "Andrew Parnell and Richard Inger",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation of the simmr package",
        "Considerations before running simmr",
        "Working with scripts",
        "Data Structure",
        "How to run simmr",
        "Step 1: Getting the data into simmr",
        "Step 2: Plotting the data in iso-space",
        "Step 3: Running simmr",
        "Step 4: Checking the algorithm converged",
        "Step 5: Checking the model fit",
        "Step 6: Exploring the results",
        "How to run simmr on multiple groups",
        "Combining sources",
        "Running simmr with only one isotope",
        "Setting up your own prior distributions",
        "Customising plots",
        "Other advanced use of simmr",
        "Appendix - suggested reading"
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      "modified": "2026-04-30 11:15:32",
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