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This repository contains R scripts for Bayesian inference applied to evaluate the best-fit parameters for ice flow laws. It supports the paper: Sheng Fan et al. (2025). "Flow laws for ice constrained by 70 years of laboratory experiments". Nature Geoscience DOI: 10.1038/s41561-025-01661-z

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BayesianIceFlow: Bayesian Modelling of Ice Flow Laws

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📖 Overview

This repository contains R scripts for Bayesian inference applied to evaluate the best-fit parameters for ice flow laws. It supports the paper:

Sheng Fan et al. (2025). "Flow laws for ice constrained by 70 years of laboratory experiments". Nature Geoscience
DOI: 10.1038/s41561-025-01661-z

📁 Repository Structure

  • R/: Core R scripts for Bayesian analysis, data processing, and visualisation.
  • data/input/: Input datasets.
  • notebooks/: RMarkdown files with step-by-step analysis.

🔧 Installation

Ensure you have the necessary R packages installed:

install.packages(c("R2jags", "ggplot2", "coda", "bayesplot", "lattice", "gridExtra"))

About

This repository contains R scripts for Bayesian inference applied to evaluate the best-fit parameters for ice flow laws. It supports the paper: Sheng Fan et al. (2025). "Flow laws for ice constrained by 70 years of laboratory experiments". Nature Geoscience DOI: 10.1038/s41561-025-01661-z

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