Package: BaSkePro 1.1.1

BaSkePro: Bayesian Model to Archaeological Faunal Skeletal Profiles

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>.

Authors:Ana B. Marín-Arroyo [aut], David Ocio [aut], Marco Vidal-Cordasco [cbt], Delphine Vettese [cbt]

BaSkePro_1.1.1.tar.gz
BaSkePro_1.1.1.zip(r-4.7)BaSkePro_1.1.1.zip(r-4.6)BaSkePro_1.1.1.zip(r-4.5)
BaSkePro_1.1.1.tgz(r-4.6-any)BaSkePro_1.1.1.tgz(r-4.5-any)
BaSkePro_1.1.1.tar.gz(r-4.7-any)BaSkePro_1.1.1.tar.gz(r-4.6-any)
BaSkePro_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
BaSkePro/json (API)

# Install 'BaSkePro' in R:
install.packages('BaSkePro', repos = c('https://marcovidalcordasco.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 305 downloads 1 exports 1 dependencies

Last updated from:fa2a6709c0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK99
source / vignettesOK190
linux-release-x86_64OK94
macos-release-arm64OK125
macos-oldrel-arm64OK184
windows-develOK66
windows-releaseOK68
windows-oldrelOK67
wasm-releaseOK84

Exports:BaSkePro

Dependencies:MASS