Generate predictions using GAM-based forecasting — generate_prediction • climateR0

Generate predictions using GAM-based forecasting

Usage

generate_prediction(
  model_data,
  input_data,
  prediction_start,
  horizon,
  pop,
  rep_prop,
  n_sim = 1,
  model_in = NULL,
  fix_all_covariates = FALSE
)

Arguments

model_data: Processed model data
input_data: Original input data
prediction_start: Start date for prediction
horizon: Forecast horizon in weeks
pop: Population size
rep_prop: Reported fraction of cases
n_sim: Number of simulations
model_in: Optional pre-fitted GAM model
fix_all_covariates: Whether to fix all covariates (SIR-like model)

Value

A list containing:

prediction_out: Array of predictions
model_out: Fitted GAM model