Results files for "End-to-end Bayesian analysis for summarizing sets of radiocarbon dates"
<p>These are the results files for the following peer-reviewed article:</p> <p>Price, M.H., J.M. Capriles, J. Hoggarth, R.K. Bocinsky, C.E. Ebert, and J.H. Jones, (2021). End-to-end Bayesian analysis for summarizing sets of radiocarbon dates. Journal of Archaeological Science.</p> <p>They were generated inside a Docker container as outlined in the README of this github repository:</p> <p>https://github.com/MichaelHoltonPrice/price_et_al_tikal_rc</p> <p>The analyses rely on an R package located in this github repository:</p> <p>https://github.com/eehh-stanford/baydem</p> <p>For the results archived here, the commits for each repository are:</p> <pre>price_et_al_tikal_rc 3ac1e35f4277ef878f8e3aac3d05159928a09a2b baydem 1220a60a860633b51f9f07cbff3eb78f458efc1a</pre>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0