BayClump was developed to support and facilitate the use of Bayesian models and analyses involving clumped isotope calibration datasets, and associated temperature reconstructions. BayClump is a self-contained R Shiny Dashboard application which facilitates the comparisons of Bayesian and frequentist models for analyzing clumped isotope datasets for paleoclimatic reconstructions.
Public website: https://bayclump.tripatilab.epss.ucla.edu/
‘bayclumpr’ is an R package for simulating synthetic clumped isotope datasets, fitting linear regression models under Bayesian and non-Bayesian frameworks, and generating temperature reconstructions
Find the project page here: https://tripati-lab.github.io/bayclumpr/
And the CRAN page here: https://cran.r-project.org/web/packages/bayclumpr/index.html