Bayesian statistics applied to Archaeology
Bayesian Modeling of Archaeological Chronologies
ArchaeoPhases: Bayesian Modeling of Archaeological Chronologies
The package ArchaeoPhases provides a list of functions for the statistical analysis and the post-processing of the Markov Chains simulated for instance by Bcal, ChronModel and Oxcal :
– Age Depth curve
– Building a chronology by intervals [phasing]
– Testing the presence of hiatus
– Estimation of a transition between two phases.
– Tempo plot
References
– Philippe A, Vibet M (2020). “Analysis of Archaeological Phases Using the R Package ArchaeoPhases.” Journal of Statistical Software, Code Snippets, 93(1). doi:10.18637/jss.v093.c01 https://doi.org/10.18637/jss.v093.c01.
– Philippe A, Vibet M, Dye T, Frerebeau N (2023). ArchaeoPhases: Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling. Université de Nantes, Nantes, France. R package version 2.0, https://ArchaeoStat.github.io/ArchaeoPhases/.