| all_obs_types | Get a list of all observation types used in a model | 
| as.matrix.epimodel | Extract posterior samples | 
| EnglandNewCases | Covid-19 Case Counts for England | 
| epidemia-package | Flexible Epidemic Modeling with epidemia | 
| epiinf | Model Latent Infections | 
| epim | Fit a Bayesian epidemiological model with epidemia | 
| epimodel-objects | Fitted Epidemiological Model Objects | 
| epiobs | Define Observational Models | 
| epirt | Model Reproduction Rates | 
| EuropeCovid | Covid-19 data for European countries | 
| EuropeCovid2 | Covid-19 data for European countries | 
| evaluate_forecast | Posterior model evaluations | 
| formula.epimodel | Formula method for epimodel objects | 
| get_samps | Retrieve final states from sampled Markov chains | 
| get_x | Extract X or Z from an epimodel object | 
| hexp | A hierarchical model for seeded infections | 
| model.frame.epimodel | model.frame method for epimodel objects. Please see... | 
| ngrps.mixed | Returns the levels for each grouping factor in the fitted... | 
| pairs.epimodel | Pairs method for epimodel objects | 
| plot_coverage | Plot coverage probability of posterior credible intervals | 
| plot.epimodel | Plot method for epimodel objects | 
| plot_infections | Plot latent infections | 
| plot_infectious | Plot total infectiousness over time. | 
| plot_linpred | Plotting the posterior linear predictor for R or... | 
| plot_metrics | Plot CRPS, Median/Mean Absolute Error | 
| plot_obs | Plot posterior predictive distributions | 
| plot_rt | Plot time-varying reproduction rates | 
| posterior_coverage | Coverage of posterior credible intervals | 
| posterior_infections | Generic function for getting posterior draws of daily... | 
| posterior_infectious | Generic function for getting posterior draws of total... | 
| posterior_latent | Generic function for getting posterior draws of a specified... | 
| posterior_linpred | Gives the posterior linear predictor for the reproduction... | 
| posterior_metrics | CRPS, Mean Absolute Error, Median Absolute Error | 
| posterior_predict.epimodel | Draws samples from the posterior predictive distribution of... | 
| posterior_rt | Generic function for getting posterior draws of the... | 
| posterior_sample_size | Get posterior sample size from a fitted model | 
| print.epimodel | Print fitted model details | 
| print.prior_summary.epimodel | Print method for 'prior_summary.epimodel' objects | 
| print.prior_summary_reg.epimodel | Print method for 'prior_summary_reg.epimodel' objects | 
| prior_summary.epimodel | Returns a summary of the prior distributions used | 
| reexports | Objects exported from other packages | 
| rw | Adds random walks with independent Gaussian steps to the... | 
| scaled_logit | Represents a 'scaled' logit link | 
| shifted_gamma | A shifted gamma prior | 
| summary.epimodel | Summary method for epimodel objects | 
| terms.epimodel | Terms method for epimodel objects | 
| terms_rw | Finds random walk terms in a formula object | 
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