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Predict mean & credible intervals for AGHQ-fitted disaggregation model

Source: R/predict_aghq.R
predict.disag_model_mmap_aghq.Rd

Given a 'disag_model_mmap_aghq' object, draws from the AGHQ marginal, builds per-cell posterior samples, and returns means and credible-interval rasters.

Usage

# S3 method for class 'disag_model_mmap_aghq'
predict(
  object,
  new_data = NULL,
  predict_iid = FALSE,
  N = 1000,
  CI = 0.95,
  verbose = FALSE,
  ...
)

Arguments

object

A 'disag_model_mmap_aghq' fit (from 'disag_model_mmap_aghq()').

new_data

Optional covariates for prediction (see helper).

predict_iid

Currently not implemented; must be FALSE.

N

Number of marginal draws to sample (default 1000).

CI

Credible-interval level in (0,1) (default 0.95).

verbose

If TRUE, prints runtime in minutes.

...

Unused.

Value

An object of class 'disag_prediction_mmap_aghq' containing: - 'mean_prediction': list of SpatRasters ('prediction', 'field', 'covariates'). - 'uncertainty_prediction': list with 'predictions_ci$lower' & 'upper'.