A regressionbased hierarchical Bayesian model is implemented for climatechange detection and attribution problems with adaptive MCMC algorithms employed, which allows sequential and parallel Bayesian inference via Bayesian model averaging for very large datasets. The DAbayes package incorporates both a simulation example and real data analysis. For the latter, observed or reconstructed measurements (e.g., temperature change) and general circulation model (GCM) outputs under several forcing scenarios are used to illustrate the statistical problem.
Package details 


Author  Pulong Ma <[email protected]>, Dorit Hammerling <[email protected]>, Matthais Katzfuss <[email protected]> 
Maintainer  Pulong Ma <[email protected]>, Dorit Hammerling <[email protected]> 
License  GPL3 
Version  0.1.0 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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