Package index • composableIDModelR

All functions
`IDModel()`	Compose an infection and an observation model
`as_julia_value(<dist_spec>)`	Render a distspec distribution as Julia code
`cidm_available()`	Check whether the Julia backend is running
`cidm_setup_julia()`	Set up Julia for composableIDModelR
`HalfNormal()` `truncated()`	Probability distributions
`fit()`	Fit a model to data
`Renewal()` `DirectInfections()` `ExpGrowthRate()`	Infection models
`AR()` `MA()` `RandomWalk()` `IID()` `Intercept()` `FixedIntercept()` `HierarchicalNormal()` `DiffLatentModel()`	Latent process models
`nuts()`	Configure the NUTS sampler
`PoissonError()` `NegativeBinomialError()` `NormalError()` `LatentDelay()` `Ascertainment()`	Observation models
`plot(<cidm_fit>)`	Plot a fitted model
`predict(<cidm_fit>)`	Posterior predictions and forecasts
`simulate(<julia_spec>)`	Simulate from a model's prior
`summary(<cidm_fit>)`	Summarise the posterior of a fitted model

Reference