Predict for Multi-Map Disaggregation Model fit with TMB

Usage

# S3 method for class 'disag_model_mmap_tmb'
predict(object, new_data = NULL, predict_iid = FALSE, N = 100, CI = 0.95, ...)

Arguments

object: A fitted disag_model_mmap_tmb object.
new_data: Optionally, a new SpatRaster (or list of them) for prediction.
predict_iid: Logical. If TRUE, include the polygon iid effect in predictions.
N: Number of Monte Carlo draws for uncertainty estimation.
CI: Credible interval level (default 0.95).
...: Further arguments.

Value

An object of class `disag_prediction_mmap` (also a list) with: - `mean_prediction`: a list containing time-layered `SpatRaster`s named `time_<time point>`: `prediction` (response-scale mean prediction), `field` (spatial-field contribution, or `NULL` when no field was fitted), `iid` (polygon IID contribution when requested and supported, otherwise `NULL`), and `covariates` (covariate-only linear predictor). - `uncertainty_prediction`: a list containing `realisations`, a list of one `SpatRaster` stack per time point with `N` Monte Carlo draws, and `predictions_ci`, a list with time-layered `SpatRaster`s `lower` and `upper` containing cell-wise credible bounds at level `CI`.