forecast_n_strain: Forecast for a single model and summarise

In epiforecasts/forecast.vocs: Forecast Case and Sequence Notifications using Variant of Concern Strain Dynamics

Forecast for a single model and summarise

Description

Forecast for a single model and summarise

Usage

forecast_n_strain(
  data,
  model = NULL,
  inits = forecast.vocs::fv_inits,
  fit = forecast.vocs::fv_sample,
  posterior = forecast.vocs::fv_tidy_posterior,
  extract_forecast = forecast.vocs::fv_extract_forecast,
  strains = 2,
  voc_label = "VOC",
  probs = c(0.05, 0.2, 0.8, 0.95),
  digits = 3,
  scale_r = 1,
  timespan = 7,
  ...
)

Arguments

data	A list of data as produced by fv_as_data_list().
model	A cmdstanr model object as loaded by fv_model().
inits	A function that returns a function to samples initial conditions with the same arguments as fv_inits(). If not supplied the package default fv_inits() is used.
fit	A function that fits the supplied model with the same arguments and return values as fv_sample(). If not supplied the package default fv_sample() is used which performs MCMC sampling using cmdstanr.
posterior	A function that summarises the output from the supplied fitting function with the same arguments and return values (depending on the requirement for downstream package functionality to function) as fv_tidy_posterior(). If not supplied the package default fv_tidy_posterior() is used.
extract_forecast	A function that extracts the forecast from the summarised posterior. If not supplied the package default fv_extract_forecast() is used.
strains	Integer number of strains. Defaults to 2. Current maximum is 2.
voc_label	A character string, default to "VOC". Defines the label to assign to variant of concern specific parameters. Example usage is to rename parameters to use variant specific terminology.
probs	A vector of numeric probabilities to produce quantile summaries for. By default these are the 5%, 20%, 80%, and 95% quantiles which are also the minimum set required for plotting functions to work (such as plot_cases(), plot_rt(), and plot_voc_frac()).
digits	Numeric, defaults to 3. Number of digits to round summary statistics to.
scale_r	Numeric, defaults to 1. Rescale the timespan over which the growth rate and reproduction number is calculated. An example use case is rescaling the growth rate from weekly to be scaled by the mean of the generation time (for COVID-19 for example this would be 5.5 / 7.
timespan	Integer, defaults to 7. Indicates the number of days between each observation. Defaults to a week.
...	Additional parameters passed to fv_sample().

See Also

Functions used for forecasting across models, dates, and scenarios forecast_across_dates(), forecast_across_scenarios(), forecast(), plot.fv_forecast(), summary.fv_forecast(), unnest_posterior()

epiforecasts/forecast.vocs documentation built on May 14, 2023, 2 p.m.