Introduction | Installing and loading the baorista package | Using baorista | Data Preparation | Bayesian Inference | Estimating Exponential Growth Rate | Non-Parametric Modelling via Random Walk ICAR Model
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-4.7)baorista_0.2.1.zip(r-4.6)baorista_0.2.1.zip(r-4.5)
baorista_0.2.1.tgz(r-4.6-any)baorista_0.2.1.tgz(r-4.5-any)
baorista_0.2.1.tar.gz(r-4.7-any)baorista_0.2.1.tar.gz(r-4.6-any)
baorista_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
baorista/json (API)
| # 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 from:c3551986f6. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 172 | ||
| source / vignettes | OK | 596 | ||
| linux-release-x86_64 | OK | 148 | ||
| macos-release-arm64 | OK | 189 | ||
| macos-oldrel-arm64 | OK | 188 | ||
| windows-devel | OK | 125 | ||
| windows-release | OK | 94 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 106 |
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 |
