EpiNova-ensemble        Ensemble Forecasting and Uncertainty
                        Quantification
EpiNova-inference       Inference Engines for EpiNova
EpiNova-interventions   Flexible Intervention (pi) Functions
EpiNova-multipatch      Multi-patch Spatial SIR Models
EpiNova-ode             EpiNova: Flexible Epidemiological Compartmental
                        Models
EpiNova-plotting        Visualisation Layer for EpiNova
build_multipatch_SEIR   Build a mobility-coupled multi-patch SEIR ODE
                        system
build_phi_pulse         Build a smooth quarantine pulse phi(t)
build_pi_exp            Build an exponential decay pi(t) = exp(-lambda
                        t)
build_pi_spline         Build a natural cubic spline pi(t)
build_pi_step           Build a step-function pi(t) (reproduces eSIR
                        Model 1 behaviour)
compose_pi              Compose multiple pi(t) functions
                        multiplicatively
ensemble_forecast       Ensemble forecast via Bayesian Model Averaging
                        (BMA)
estimate_Rt             Estimate time-varying effective reproduction
                        number Rt
estimate_Rt_simple      Lightweight built-in Rt estimator (no extra
                        packages needed)
fit_mle                 Fit a EpiNova model by maximum likelihood
fit_smc                 Sequential Monte Carlo (particle filter)
                        inference
gp_cov_sqexp            Build a squared-exponential covariance matrix
                        for GP pi(t)
gravity_mobility        Build a gravity-model mobility matrix
hubei_covid             Hubei Province COVID-19 data (Jan 13 - Feb 11,
                        2020)
plot_Rt                 Plot effective reproduction number Rt over time
plot_forecast           Plot forecast with uncertainty ribbon
plot_multipatch_snapshot
                        Multi-patch bar chart of infected proportion by
                        patch
plot_scenarios          Plot scenario comparison
plot_trajectory         Plot model trajectory with observed data
prep_proportions        Prepare population proportions from a
                        hubei_covid-style list
project_scenarios       Project scenarios under alternative
                        intervention strategies
score_forecast          Evaluate forecast calibration with proper
                        scoring rules
solve_model             Solve a compartmental ODE model
solve_multipatch        Solve a multi-patch SEIR model
