Run leapfrog model fit from initial state

run_model_from_state(
  parameters,
  configuration,
  initial_state,
  simulation_start_year,
  output_years = seq(1970, 2030)
)

Arguments

parameters: Projection parameters
configuration: The model configuration to run, see list_model_configurations() for available configurations
initial_state: The model will run from this initial state
simulation_start_year: Start the model simulation from a particular year
output_years: Which years of the model to return from the simulation, defaults to all years from 1970 to 2030. Also used to control what years the simulation is run for. If output only 2030, simulation will be run from projection_start_year passed in the parameters list.

Value

List of model outputs, where the last dimension of each element is time, e.g. p_totpop state variable has dimensions 81 x 2. If output_years specified has length 61 then the p_totpop output will have dimensions 81 x 2 x 61.

Examples

pjnz <- system.file(
  "pjnz/bwa_aim-adult-art-no-special-elig_v6.13_2022-04-18.PJNZ",
  package = "frogger", mustWork = TRUE)
parameters <- prepare_leapfrog_parameters(pjnz, use_coarse_age_groups = TRUE)
out_first_half_years <- run_model(parameters, "HivCoarseAgeStratification", 1970:2000)
out_second_half_years <- run_model_from_state(
  parameters,
  "HivCoarseAgeStratification",
  get_time_slice(out_first_half_years, 31),
  2000,
  2001:2030)