ArchaeoStat/ArchaeoChron: Bayesian Modeling of Archaeological Chronologies

Provides a list of functions for the Bayesian modeling of archaeological chronologies. The Bayesian models are implemented in 'JAGS' ('JAGS' stands for Just Another Gibbs Sampler. It is a program for the analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation. See <http://mcmc-jags.sourceforge.net/> and "JAGS Version 4.3.0 user manual", Martin Plummer (2017) <https://sourceforge.net/projects/mcmc-jags/files/Manuals/>.). The inputs are measurements with their associated standard deviations and the study period. The output is the MCMC sample of the posterior distribution of the event date with or without radiocarbon calibration.

Getting started

Package details

AuthorAnne Philippe [aut, cre], Marie-Anne Vibet [aut]
MaintainerAnne Philippe <[email protected]>
LicenseGPL-3
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ArchaeoStat/ArchaeoChron")
ArchaeoStat/ArchaeoChron documentation built on Oct. 30, 2019, 4:57 a.m.