The Python and R scripts to recreate the simulations and plots are available in: calipro-lhs-vs-abc-smc.zip (180K) To re-run the analysis, install the dependencies:

• Rscript -e 'install.packages(c("tidyverse", "deSolve", "lhs", "plyr", "extraDistr", "RNetCDF", "Rtsne", "cowplot"))'
• python3 -m pip install --user pymc seaborn ninja

Then in the unzipped directory where you see the build.ninja file, run the ninja command to run the model simulations and plot their outputs.

Results are also available in calipro-lhs-vs-abs-smc-with-results.zip (1.1G)

The supplementary Bayesian analysis output with pairs plots and parameter summaries is available in: suppl-bayesian.pdf