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  "Title": "Bayesian Model to Archaeological Faunal Skeletal Profiles",
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  "Author": "Ana B. Marín-Arroyo [aut], David Ocio [aut], Marco\nVidal-Cordasco [cbt], Delphine Vettese [cbt]",
  "Maintainer": "Marco Vidal-Cordasco <marcovidalcordasco@gmail.com>",
  "Description": "Tool to perform Bayesian inference of carcass\nprocessing/transport strategy and bone attrition from\narchaeofaunal skeletal profiles characterized by percentages of\nMAU (Minimum Anatomical Units). The approach is based on a\ngenerative model for skeletal profiles that replicates the two\nphases of formation of any faunal assemblage: initial\naccumulation as a function of human transport strategies and\nsubsequent attrition.Two parameters define this model: 1) the\ntransport preference (alpha), which can take any value between\n- 1 (mostly axial contribution) and 1 (mostly appendicular\ncontribution) following strategies constructed as a function of\nbutchering efficiency of different anatomical elements and the\nresults of ethnographic studies, and 2) degree of attrition\n(beta), which can vary between 0 (no attrition) and 10 (maximum\nattrition) and relates the survivorship of bone elements to\ntheir maximum bone density. Starting from uniform prior\nprobability distribution functions of alpha and beta, a Monte\nCarlo Markov Chain sampling based on a random walk\nMetropolis-Hasting algorithm is adopted to derive the posterior\nprobability distribution functions, which are then available\nfor interpretation. During this process, the likelihood of\nobtaining the observed percentages of MAU given a pair of\nparameter values is estimated by the inverse of the Chi2\nstatistic, multiplied by the proportion of elements within a 1\npercent of the observed value. See Ana B. Marin-Arroyo, David\nOcio (2018).<doi:10.1080/08912963.2017.1336620>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Packaged": {
    "Date": "2026-05-14 06:12:52 UTC",
    "User": "root"
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