Generate Scenario Predictions

Generate predictions for a set of scenarios using pre-loaded models. This is a lower-level function that requires models to be loaded first using load_emulator_models().

For most use cases, prefer run_malaria_emulator() which handles model loading automatically.

Usage

generate_scenario_predictions(
  scenarios,
  models,
  model_types = c("LSTM"),
  time_steps = 2190L
)

Arguments

scenarios

A data frame of scenarios created by create_scenarios().

models

An EmulatorModels object returned by load_emulator_models().

model_types

Character vector. Model types to use. Default c("LSTM").

time_steps

Integer. Number of time steps in days. Default 2190.

Value

A list of prediction dictionaries.

See also

load_emulator_models(), run_malaria_emulator()

Examples

if (FALSE) { # \dontrun{
models <- load_emulator_models(predictor = "prevalence")
scenarios <- create_scenarios(
  eir = 50, dn0_use = 0.5, dn0_future = 0.6, Q0 = 0.92,
  phi_bednets = 0.85, seasonal = 1, routine = 0.1,
  itn_use = 0.6, irs_use = 0.0, itn_future = 0.7,
  irs_future = 0.3, lsm = 0.0
)
predictions <- generate_scenario_predictions(scenarios, models)
} # }