nimbleCarbon
Bayesian Analyses of Radiocarbon Dates with NIMBLE
Provides utility functions and custom probability distribution for Bayesian analyses of radiocarbon dates within the 'nimble' modelling framework. It includes various population growth models, nimbleFunction objects, as well as a suite of functions for prior and posterior predictive checks for demographic inference (Crema and Shoda (2021)
nimbleCarbon 
The nimbleCarbon package provides utility functions and bespoke probability distributions for the Bayesian analyses of radiocarbon dates using the NIMBLE framework. The package is particularly suited for demographic inferences based on changing frequencies of radiocarbon dates and enables parameter estimations and model comparison for the following population growth models (see Crema and Shoda 2021 for details):
- Exponential
- Logistic
- Double-Exponential
- Exponential-Logistic
- Logistic-Exponential
- Trapezoidal
- Asymmetric Laplace
Community contributions of additional growth models and features are welcome. For more information and tutorial please check the vignette.
References
Crema, E. R., & Shoda, S. (2021). A Bayesian approach for fitting and comparing demographic growth models of radiocarbon dates: a case study on the Jomon-Yayoi transition in Kyushu (Japan). PLOS ONE, 16(5), e0251695.