jrreimer/Long-transient-dynamics-in-the-presence-of-noise
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Simulation study for Bayesian hierarchical model.
R package longTransients must be installed:
install.packages("path/to/longTransients_1.1.tar.gz", repos = NULL)
simulate_trajectories.R creates the simulated data stored in /data
Scripts Figure 1.R, Figure 2.R, Figure 3.R and Figure 4.R create corresponding Figures 1-4 in the manuscript.
kl_combinations.R fits the parametric model to subsets of the simulated trajectories used to create Figure 5.
kl_divergence.R summarizes the results of the fits in kl_combinations.R through numerical approximations of marginal KL divergences to create Figure 5.
neg_grad_potential_plot.R creates Figure 6.
The simulation_study.R script fits both models to several subsets of the 10 simulated trajectories for a single value of the measurement error variance. The script also creates Figure 7.
single_combinations.R fits both models to one subset of the simulated trajectories.