https://github.com/ercrema/beyond_aoristic
Data and R scripts for the paper 'A Bayesian alternative for Aoristic analyses in Archaeology'
https://github.com/ercrema/beyond_aoristic
aoristic-analyses archaeology bayesian-inference chronological-uncertainty
Last synced: 3 months ago
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Data and R scripts for the paper 'A Bayesian alternative for Aoristic analyses in Archaeology'
- Host: GitHub
- URL: https://github.com/ercrema/beyond_aoristic
- Owner: ercrema
- Created: 2022-02-10T16:20:28.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-05-16T08:37:09.000Z (about 1 year ago)
- Last Synced: 2025-01-16T17:53:41.524Z (5 months ago)
- Topics: aoristic-analyses, archaeology, bayesian-inference, chronological-uncertainty
- Language: R
- Homepage:
- Size: 136 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://zenodo.org/doi/10.5281/zenodo.11163687)
# Data and R scripts for the paper 'A Bayesian alternative for Aoristic analyses in Archaeology'
This repository contains data and scripts used in the following paper:
Crema, E.R. (2024) A Bayesian alternative for Aoristic analyses in Archaeology. Archaeometry
The repository is organised into four directories: _figures_, _results_, _scripts_, and _src_.
The _scripts_ directory contains R scripts for each of the four simulation experiments, _src_ contains utility functions, _results_ contains R image files with the analyses output, and _figures_ contains all figures in the manuscript and the R script required to generate them.
## File Structure
#### figures
* `figure1.png` ~ `figure6.png` ... PNG version of manuscript figures. Generated using the command `Rscript figures.R png`. TIFF version can be generated with `Rscript figures.R tiff`.
* `figures.R` ... generates all figures for the manuscript.
#### results
* `exo01_res.RData` ... R image file containing results of experiment 1, generated running `experiment01.R`.
* `exo02a_res.RData` ... R image file containing results of experiment 2 (100 yrs resolution), generated running `experiment02a.R`.
* `exo02b_res.RData` ... R image file containing results of experiment 2 (10 yrs resolution), generated running `experiment02b.R`.
* `exo03_res.RData` ... R image file containing results of experiment 3, generated running `experiment03.R`.
* `exo04_res.RData` ... R image file containing results of experiment 4, generated running `experiment04.R`.
* `figure1_res.RData` ... R image containing objects required for figure 1, generated running `figure1_sim.R`.
#### scripts
* `experiment01.R` ... R script for running experiment #1
* `experiment02a.R` ... R script for running experiment #2 (100yrs resolution).
* `experiment02b.R` ... R script for running experiment #2 (10yrs resolution).
* `experiment03.R` ... R script for running experiment #3
* `experiment04.R` ... R script for running experiment #4
* `figure1_sim.R` ... R script for generating the data required for making figure 1.
#### src
* `diristick.R` ... Broken stick algorithm for generating random archaeological periodisation using the Dirichlet distribution.
* `mcsim.R` ... Monte-Carlo simulation for aoristic analyses.
* `phaserect.R` ... displays periodisations interval on existing plots.
* `randtimespan.R` ... assigns random time-spans to events.
* `ribbon.R` ... displays interval-based ribbons on existing plots.
* `time2phase.R` ... assign periods/phases to calendar dates based on user-defined intervals.
* `unifdisc.R` ... discrete uniform distribution functions.
## R Session Info
```
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] nimbleCarbon_0.2.4 emdbook_1.3.13 dplyr_1.1.2 baorista_0.0.6
[5] nimble_1.0.1 here_1.0.1
loaded via a namespace (and not attached):
[1] xfun_0.40 spatstat.sparse_3.0-2 lattice_0.22-5
[4] numDeriv_2016.8-1.1 vctrs_0.6.2 tools_4.3.1
[7] doSNOW_1.0.20 spatstat.utils_3.0-3 generics_0.1.3
[10] goftest_1.2-3 stats4_4.3.1 parallel_4.3.1
[13] tibble_3.2.1 proxy_0.4-27 fansi_1.0.4
[16] pkgconfig_2.0.3 spatstat_3.0-6 Matrix_1.6-1.1
[19] KernSmooth_2.23-22 lifecycle_1.0.3 compiler_4.3.1
[22] deldir_1.0-9 spatstat.linnet_3.1-1 codetools_0.2-19
[25] spatstat.explore_3.2-1 snow_0.4-4 class_7.3-22
[28] pracma_2.4.2 pillar_1.9.0 MASS_7.3-60
[31] classInt_0.4-9 spatstat.model_3.2-4 iterators_1.0.14
[34] rpart_4.1.21 abind_1.4-5 foreach_1.5.2
[37] nlme_3.1-163 spatstat.geom_3.2-4 tidyselect_1.2.0
[40] bdsmatrix_1.3-6 mvtnorm_1.2-2 sf_1.0-14
[43] splines_4.3.1 polyclip_1.10-4 rprojroot_2.0.3
[46] grid_4.3.1 cli_3.6.1 magrittr_2.0.3
[49] utf8_1.2.3 e1071_1.7-13 spatstat.data_3.0-1
[52] tensor_1.5 igraph_1.5.1 coda_0.19-4
[55] knitr_1.43 rcarbon_1.5.1 bbmle_1.0.25
[58] mgcv_1.9-0 rlang_1.1.1 Rcpp_1.0.11
[61] spatstat.random_3.1-5 glue_1.6.2 DBI_1.1.3
[64] R6_2.5.1 plyr_1.8.8 units_0.8-3
```
Please note that the R package [_baorista_](https://github.com/ercrema/baorista) is not available on CRAN yet, but the latest version can be installed directly from GitHub with the following command:
```
library(devtools)
install_github('ercrema/baorista')
```
## Funding
Philip Leverhulme Prize (#PLP-2019–304 Awarded to: E.Crema)
## Licence
CC-BY 3.0