Supplementary Material

This Github repository contains the data, analysis code, and results for the paper by Veillard & Vincent (in preparation).

Core analysis files to look at:

• supplementary_analysis.html contains the majority of the supplementary results. This is produced by the R code in supplementary_analysis.Rmd.
• evaluate the rate hypothesis.ipynb This Jupyter notebook contains Python code to analyse our hypothesis that discount rates moderate the rate of BMI gain with age.
• bayesian meta analysis MCQ.ipynb and bayesian meta analysis WCQ.ipynb are also Jupyter notebooks containing Python code. These run the Bayesian meta analyses.

Other files of interest:

• the jasp/ folder contains the JASP files for some of the data analyses.
• metaBayes is a Python package which implements Bayesian meta analysis. In the future this may be expanded and released as a stand-alone Python package.

For further information, please see