Do inference on generated data #54
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…-in-conjunction-with-the-already-existing-rw-latent-process
… toy model script.
…-in-conjunction-with-the-already-existing-rw-latent-process
… for draws from the Turing model
…liant-output New function `spread_draws` for creating `tidybayes` compliant MCMC output
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… rather than a NamedTuple field
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This PR demonstrates adding Bayesian inference to a combined
EpiModel, latent process and observation process together for a toy model.Specific options
EpiModelisDirectInfections; that is the latent process is aimed at generating the log-infections directly (as opposed torandom_walk; that is the latent process is a random walk with unknown step size variance.delay_observations; that is the infections are delayed by a delay kernel and then cases are observed using negative binomial sampling.Minor additional fixes
latent_process_priorsis renamed toprocess_priors. This contains the prior distributions of all processes rather than just the latent generative process; this is the simplest in code (see Improve the prior interface formake_epi_model_inference#45 ), but might be changed soon.random_walkto engage type stability.Direct_Infectionsso that it started at the inferredinitvalue.Closes #43