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]

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

On CRAN:

aoristic-analysesarchaeologybayesian-inference

6 exports 11 stars 2.40 score 16 dependencies 7 scripts 429 downloads

Last updated 11 days agofrom:c3551986f6. Checks:OK: 7. Indexed: yes.

Exports:createProbMatdexpfitexpfiticarfitlogisticfitmcsim

Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenumDerivpkgconfigpracmaR6rlangvctrs