RiskMap (version 1.0.0)

pred_target_grid: Predictive Target Over a Regular Spatial Grid

Description

Computes predictions over a regular spatial grid using outputs from the pred_over_grid function. This function allows for incorporating covariates, offsets, MDA effects, and optional unstructured random effects into the predictive target.

Usage

pred_target_grid(
  object,
  include_covariates = TRUE,
  include_nugget = FALSE,
  include_cov_offset = FALSE,
  include_mda_effect = TRUE,
  mda_grid = NULL,
  time_pred = NULL,
  include_re = FALSE,
  f_target = NULL,
  pd_summary = NULL
)

Value

An object of class 'RiskMap_pred_target_grid' containing predicted values and summaries over the regular spatial grid.

Arguments

object

Output from `pred_over_grid`, a RiskMap.pred.re object.

include_covariates

Logical. Include covariates in the predictive target.

include_nugget

Logical. Include the nugget effect in the predictive target.

include_cov_offset

Logical. Include the covariate offset in the predictive target.

include_mda_effect

Logical. Include the MDA effect in the predictive target using a DAST model; see dast.

mda_grid

Optional. Grid of MDA coverage values required for predictions using a DAST model; see dast.

time_pred

Optional. Time point for prediction required for predictions using a DAST model; see dast.

include_re

Logical. Include unstructured random effects in the predictive target.

f_target

Optional. List of functions to apply on the linear predictor samples.

pd_summary

Optional. List of summary functions to apply on the predicted values.

Author

Emanuele Giorgi

Claudio Fronterre

See Also

pred_over_grid