To support the use of Bayesian models and the analytical framework developed in Román-Palacios et al. (2022) for clumped isotope calibration and for temperature reconstructions, and to facilitate comparisons of Bayesian and classical models, we present a self-contained
R package and associated Shiny Dashboard application,
BayClump) fits both frequentist and Bayesian linear regressions to calibration datasets and performs temperature reconstructions under both frameworks. You can find more details on how to use
bayclumpr in this website.
BayClump is an associated Shiny Dashboard application that is associated with the
R package. All the functions implemented in
BayClump are sourced from
bayclumpr. We eveloped
BayClump to allow users with less coding experience to be able to access standarized resources to calibrate and derive reconstructions using clumped isotope datasets. You can access BayClump directly from here.
The latest version of
bayclumpr can be installed directly from our GitHub repository using the following lines of code from
Please see our contributing guide.
Please see the package DESCRIPTION for package authors.