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baorista
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", "0.2.1")
Attach the package and use:
library("baorista")
Maintained by
Enrico Crema
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.baorista . baorista citation info . baorista results . baorista.pdf . Quick Start with the baorista R package . baorista_0.2.1.tar.gz . baorista_0.2.1.zip . baorista_0.2.1.zip . baorista_0.2.1.zip . baorista_0.2.1.tgz . baorista_0.2.1.tgz . baorista_0.2.1.tgz . baorista_0.2.1.tgz . baorista archive . https://CRAN.R-project.org/package=baorista .
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 0.2.1, https://cran.r-project.org/web/packages/baorista. Accessed 11 May. 2025.
Previous versions and publish date:
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