Package: BaSkePro Type: Package Title: Bayesian Model to Archaeological Faunal Skeletal Profiles Version: 1.1.1 Author: Ana B. MarĂ­n-Arroyo [aut], David Ocio [aut], Marco Vidal-Cordasco [cbt], Delphine Vettese [cbt] Maintainer: Marco Vidal-Cordasco Description: Tool to perform Bayesian inference of carcass processing/transport strategy and bone attrition from archaeofaunal skeletal profiles characterized by percentages of MAU (Minimum Anatomical Units). The approach is based on a generative model for skeletal profiles that replicates the two phases of formation of any faunal assemblage: initial accumulation as a function of human transport strategies and subsequent attrition.Two parameters define this model: 1) the transport preference (alpha), which can take any value between - 1 (mostly axial contribution) and 1 (mostly appendicular contribution) following strategies constructed as a function of butchering efficiency of different anatomical elements and the results of ethnographic studies, and 2) degree of attrition (beta), which can vary between 0 (no attrition) and 10 (maximum attrition) and relates the survivorship of bone elements to their maximum bone density. Starting from uniform prior probability distribution functions of alpha and beta, a Monte Carlo Markov Chain sampling based on a random walk Metropolis-Hasting algorithm is adopted to derive the posterior probability distribution functions, which are then available for interpretation. During this process, the likelihood of obtaining the observed percentages of MAU given a pair of parameter values is estimated by the inverse of the Chi2 statistic, multiplied by the proportion of elements within a 1 percent of the observed value. See Ana B. Marin-Arroyo, David Ocio (2018).. License: GPL-3 Encoding: UTF-8 Depends: MASS NeedsCompilation: no Packaged: 2026-10-11 09:28:21 UTC; root Repository: https://marcovidalcordasco.r-universe.dev Date/Publication: 2024-01-11 02:39:16 UTC RemoteUrl: https://github.com/cran/BaSkePro RemoteRef: HEAD RemoteSha: fa2a6709c05996b5e54bce514bef6fced83d87a0