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:
baorista_0.2.1.tar.gz
baorista_0.2.1.zip(r-4.5)baorista_0.2.1.zip(r-4.4)baorista_0.2.1.zip(r-4.3)
baorista_0.2.1.tgz(r-4.4-any)baorista_0.2.1.tgz(r-4.3-any)
baorista_0.2.1.tar.gz(r-4.5-noble)baorista_0.2.1.tar.gz(r-4.4-noble)
baorista_0.2.1.tgz(r-4.4-emscripten)baorista_0.2.1.tgz(r-4.3-emscripten)
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
aoristic-analysesarchaeologybayesian-inference
Last updated 3 months agofrom:c3551986f6. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win | OK | Nov 06 2024 |
| R-4.5-linux | OK | Nov 06 2024 |
| R-4.4-win | OK | Nov 06 2024 |
| R-4.4-mac | OK | Nov 06 2024 |
| R-4.3-win | OK | Nov 06 2024 |
| R-4.3-mac | OK | Nov 06 2024 |
Exports:createProbMatdexpfitexpfiticarfitlogisticfitmcsim
Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenumDerivpkgconfigpracmaR6rlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Creates a probMat class object from user data | createProbMat |
| Estimate Exponential Growth rate from Aoristic data | dexpfit |
| Estimate Exponential Growth rate from Aoristic data | expfit |
| Fits a random walk ICAR model to Aoristic data | icarfit |
| Fits a Logistic growth model on Aoristic data | logisticfit |
| Monte-Carlo simulation on aoristic data | mcsim |
| Plot double exponential model fitted to aoristic data | plot.fittedDExp |
| Plot exponential model fitted to aoristic data | plot.fittedExp |
| Plot 1D ICAR model fitted to aoristic data | plot.fittedICAR |
| Plot logistic model fitted to aoristic data | plot.fittedLogistic |
| Plot Monte-Carlo simulation results on aoristic data | plot.mcsimres |
| Plot Aoristic Sums | plot.probMat |
| Sample aoristic data (data.frame) | sampledf |
| Sample aoristic data (matrix) | samplemat |
