CRAN/E | BaSkePro

BaSkePro

Bayesian Model to Archaeological Faunal Skeletal Profiles

Installation

About

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).doi:10.1080/08912963.2017.1336620.

Key Metrics

Version 1.1.1
Published 2024-01-10 78 days ago
Needs compilation? no
License GPL-3
CRAN checks BaSkePro results

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Maintainer

Maintainer

Marco Vidal-Cordasco

marcovidalcordasco@gmail.com

Authors

Ana B. Marín-Arroyo

aut

David Ocio

aut

Marco Vidal-Cordasco

cbt

Delphine Vettese

cbt

Material

Reference manual
Package source

In Views

Bayesian

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BaSkePro archive

Depends

MASS