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Parsing EpiFusion Outputs
Ciara Judge edited this page Jun 6, 2024
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For each MCMC chain, EpiFusion will give you the following output files:
- betas: csv file where each row is a trajectory of rate beta sampled from the MCMC
- trajectories: csv file where each row is a daily infection trajectory sampled from the MCMC
- rt: csv file where each row is a daily Rt trajectory sampled from the MCMC
- params: txt file where each column is an MCMC parameter, and each row is an MCMC sample
- likelihoods: txt file of the posterior likelihoods from each MCMC step
- acceptance: txt file where each line logs the acceptance rate of steps between MCMC samples
- completed: txt file where each line logs if the particle filter step was completed or quit due to particle depletion
- positivetests (only for combined or epi-only analyses): csv file where each row is simulated case incidence by the model which was compared to the observed case incidence
EpiFusion will also save a copy of the parameter file used to the output folder, so you can remember exactly what parameters were used, and a file called 'timings.txt' with the runtime in nanoseconds.
We have an R package on GitHub called 'EpiFusionUtilities' which can be useful for interpreting the output. It can be installed via devtools with the following command in R:
devtools::install_github("https://github.com/ciarajudge/EpiFusionUtilities")
For more on EpiFusionUtilities, visit the project wiki.
- Description: Loads an R list with the full posterior trajectory samples, parameter samples, likelihoods and acceptance rates for all chains.
- Input: A filepath to an EpiFusion outputs folder
- Output: A large list with the full EpiFusion output in an R compatible format.
raw_epifusion_output <- load_raw_epifusion('epifusionoutputs/')
- Description: Plots the likelihood trace for all chains in an EpiFusion analysis
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Input: Raw epifusion output object generated by
load_raw_epifusion() - Output: A plot of the likelihood trace coloured by chain.
plot_likelihood_trace(raw_epifusion_output)
- Description: Extracts the final epifusion posterior samples, discarding a certain proportion at the beginning of each chain as burn-in
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Input: Raw epifusion output object generated by
load_raw_epifusion()and proportion of each chain to discard as burn-in - Output: A large list with the EpiFusion posterior samples aggregated across chains (with burn-in discarded). Also has trajectory means and HPDs, and parameter convergence statistics.
extract_posterior_epifusion(raw_epifusion_output, 0.1)
EpiFusion is a program for implementing a joint inference infrastructure for modelling epidemic trajectories using particle filtering.