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baorista  

Bayesian Aoristic Analyses
View on CRAN: Click here


Download and install baorista package within the R console
Install from CRAN:
install.packages("baorista")

Install from Github:
library("remotes")
install_github("cran/baorista")

Install by package version:
library("remotes")
install_version("baorista", "0.1.4")



Attach the package and use:
library("baorista")
Maintained by
Enrico Crema
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-22
Latest Update: 2024-05-23
Description:
Provides an alternative approach to aoristic analyses for archaeological datasets by fitting Bayesian parametric growth models and non-parametric random-walk Intrinsic Conditional Autoregressive (ICAR) models on time frequency data (Crema (2024)<doi:10.1111/arcm.12984>). It handles event typo-chronology based timespans defined by start/end date as well as more complex user-provided vector of probabilities.
How to cite:
Enrico Crema (2024). baorista: Bayesian Aoristic Analyses. R package version 0.1.4, https://cran.r-project.org/web/packages/baorista
Previous versions and publish date:
0.1.2 (2024-05-22 00:10), 0.1.3 (2024-05-24 00:00)
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Full baorista package functions and examples
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