ArchaeoChron: Bayesian Modeling of Archaeological Chronologies

In ArchaeoChron: Bayesian Modeling of Archaeological Chronologies

Description

This package 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 manuel", 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.

ArchaeoChron functions

• combination_Gauss() : A function for a simple combination of Gaussian dates

• combinationWithOutliers_Gauss() : A function for combining Gaussian dates using the outliers model described in Bronk Ramsey, 2009.

• combinationWithRandomEffect_Gauss() : A function for combining Gaussian dates introducing a random effect (see Congdom, 2010)

• eventModel_Gauss() : A function for combining Gaussian dates introducing an individual random effect (see Lanos and Philippe, 2017)

• chrono_Gauss() : A function for a simple chronology of Gaussian dates

• chronoOutliers_Gauss() : A function for the chronology of Gaussian dates associated with an outlier modeling (Bronk Ramsey, 2009)

• chronoEvents_Gauss() : A function for the chronology of events combining Gaussian dates (Lanos and Philippe, 2017)

• eventModel_C14() : A function for combining radiocarbon dates

ArchaeoChron documentation built on May 2, 2019, 9:13 a.m.