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BaSkePro
View on CRAN: Click
here
Download and install BaSkePro package within the R console
Install from CRAN:
install.packages("BaSkePro")
Install from Github:
library("remotes")
install_github("cran/BaSkePro")
Install by package version:
library("remotes")
install_version("BaSkePro", "1.1.1")
Attach the package and use:
library("BaSkePro")
Maintained by
Marco Vidal-Cordasco
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.BaSkePro . BaSkePro results . BaSkePro.pdf . BaSkePro_1.1.1.tar.gz . BaSkePro_1.1.1.zip . BaSkePro_1.1.1.zip . BaSkePro_1.1.1.zip . BaSkePro_1.1.1.tgz . BaSkePro_1.1.1.tgz . BaSkePro_1.1.1.tgz . BaSkePro_1.1.1.tgz . BaSkePro_1.1.1.tgz . BaSkePro_1.1.1.tgz . BaSkePro archive . https://CRAN.R-project.org/package=BaSkePro .
First Published: 2022-02-17
Latest Update: 2024-01-10
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)..
How to cite:
Marco Vidal-Cordasco (2022). BaSkePro: Bayesian Model to Archaeological Faunal Skeletal Profiles. R package version 1.1.1, https://cran.r-project.org/web/packages/BaSkePro. Accessed 03 Apr. 2025.
Previous versions and publish date:
0.1.0 (2022-02-17 20:42)
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Complete documentation for BaSkePro
Functions, R codes and Examples using
the BaSkePro R package
Some associated functions: BaSkePro_description .
Some associated R codes: BaSkePro.4.R . Full BaSkePro package functions and examples
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