archaeochron
Bayesian Modeling of Archaeological Chronologies
Science Score: 26.0%
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○CITATION.cff file
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✓.zenodo.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (20.0%) to scientific vocabulary
Keywords
archaeology
bayesian-statistics
geochronology
markov-chain
r-package
radiocarbon-dates
Last synced: 6 months ago
·
JSON representation
Repository
Bayesian Modeling of Archaeological Chronologies
Basic Info
- Host: GitHub
- Owner: ArchaeoStat
- License: gpl-3.0
- Language: R
- Default Branch: master
- Homepage: https://archaeostat.github.io/ArchaeoChron/
- Size: 3.44 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
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(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = NULL
)
```
# ArchaeoChron
[](https://github.com/ArchaeoStat/ArchaeoChron/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/ArchaeoStat/ArchaeoChron)
[](https://ArchaeoStat.r-universe.dev){.pkgdown-devel}
[](https://cran.r-project.org/package=ArchaeoChron){.pkgdown-release}
[](https://cran.r-project.org/package=ArchaeoChron){.pkgdown-release}
[](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
- Repositories: 2
- Profile: https://github.com/ArchaeoStat
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