Package: baorista 0.2.1

baorista: Bayesian Aoristic Analyses

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.

Authors:Enrico Crema [aut, cre]

baorista_0.2.1.tar.gz
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baorista.pdf |baorista.html
baorista/json (API)
NEWS

# Install 'baorista' in R:
install.packages('baorista', repos = c('https://ercrema.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ercrema/baorista/issues

Datasets:

On CRAN:

Conda:

aoristic-analysesarchaeologybayesian-inference

5.78 score 11 stars 7 scripts 304 downloads 6 exports 16 dependencies

Last updated 7 months agofrom:c3551986f6. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-winNOTEMar 06 2025
R-4.5-macNOTEMar 06 2025
R-4.5-linuxNOTEMar 06 2025
R-4.4-winOKMar 06 2025
R-4.4-macOKMar 06 2025
R-4.4-linuxOKMar 06 2025
R-4.3-winOKMar 06 2025
R-4.3-macOKMar 06 2025

Exports:createProbMatdexpfitexpfiticarfitlogisticfitmcsim

Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenumDerivpkgconfigpracmaR6rlangvctrs

Quick Start with the baorista R package

Rendered fromusing_baorista.Rmdusingknitr::rmarkdown_notangleon Mar 06 2025.

Last update: 2024-05-21
Started: 2023-11-04