Predict cases using a fitted GAM model
Usage
predict_cases(
train_data,
train_test_data,
prediction_bootstrap,
gam_mod,
pop,
rep_prop,
n_sim = 100,
fix_all_covariates
)
Arguments
- train_data
Training data
- train_test_data
Combined training and test data
- prediction_bootstrap
Array for storing predictions
- gam_mod
Fitted GAM model
- pop
Population size
- rep_prop
Reported fraction of cases
- n_sim
Number of simulations
- fix_all_covariates
Whether to fix all covariates (SIR-like model)
Value
Array of predictions
