archaeochron

Bayesian Modeling of Archaeological Chronologies

https://github.com/archaeostat/archaeochron

Science Score: 26.0%

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Keywords

archaeology bayesian-statistics geochronology markov-chain r-package radiocarbon-dates
Last synced: 6 months ago · JSON representation

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Bayesian Modeling of Archaeological Chronologies

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Topics
archaeology bayesian-statistics geochronology markov-chain r-package radiocarbon-dates
Created over 8 years ago · Last pushed 9 months ago
Metadata Files
Readme Changelog License Codemeta Zenodo

README.Rmd

---
output: github_document
bibliography: vignettes/bibliography.bib
---



```{r, include = FALSE}
knitr::opts_chunk$set(
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)
```

# ArchaeoChron


[![R-CMD-check](https://github.com/ArchaeoStat/ArchaeoChron/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ArchaeoStat/ArchaeoChron/actions/workflows/R-CMD-check.yaml)
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[![r-universe](https://ArchaeoStat.r-universe.dev/badges/ArchaeoChron)](https://ArchaeoStat.r-universe.dev){.pkgdown-devel}
[![CRAN Version](http://www.r-pkg.org/badges/version/ArchaeoChron)](https://cran.r-project.org/package=ArchaeoChron){.pkgdown-release}
[![CRAN Downloads](http://cranlogs.r-pkg.org/badges/ArchaeoChron)](https://cran.r-project.org/package=ArchaeoChron){.pkgdown-release}

[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)


## Overview

**ArchaeoChron** 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  and "JAGS Version 4.3.0 user manual", Martin Plummer (2017) .). 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. 

If this is your first time using **ArchaeoChron**, take a moment to read the vignette we wrote about the estimation of a combination of dates (mainly Gaussian). If you have any questions, feel free to contact us ().

```{r citation, echo=FALSE, comment=''}
utils::citation("ArchaeoChron")
```

## Installation

You can install the released version of **ArchaeoChron** from [CRAN](https://CRAN.R-project.org) with:

```{r cran-installation, eval=FALSE}
install.packages("ArchaeoChron")
```

And the development version from [GitHub](https://github.com/) with:

```{r gh-installation, eval=FALSE}
# install.packages("remotes")
remotes::install_github("ArchaeoStat/ArchaeoChron")
```

## Usage

**ArchaeoChron** provides functions that return a Markov chain of the posterior distribution of one of the following Bayesian models:

* `combination_Gauss()`: simple combination of Gaussian dates.
* `combinationWithOutliers_Gauss()`: combine Gaussian dates using the outliers model described in @bronkramsey2009.
* `combinationWithRandomEffect_Gauss()`: combine Gaussian dates with a random effect [@congdon2010].
* `eventModel_Gauss()`: combine Gaussian dates with an individual random effect [@lanos2017].

* `chrono_Gauss()`: simple chronology of Gaussian dates.
* `chronoOutliers_Gauss()`: chronology of Gaussian dates with outlier modeling [@bronkramsey2009].
* `chronoEvents_Gauss()`: chronology of events combining Gaussian dates [@lanos2017].

* `eventModel_C14()`: combine radiocarbon dates.

## References

Owner

  • Name: ArchaeoStat
  • Login: ArchaeoStat
  • Kind: organization

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