Assess Simulations
assess_sim.RdThis function evaluates the performance of models based on simulation results from the `surf_sim` function.
Usage
assess_sim(
obj_sim,
models,
control_mcmc = set_control_sim(),
spatial_scale,
messages = TRUE,
f_grid_target = NULL,
f_area_target = NULL,
shp = NULL,
col_names = NULL,
pred_objective = c("mse", "classify"),
categories = NULL
)Arguments
- obj_sim
An object of class `RiskMap.sim`, obtained as an output from the `surf_sim` function.
- models
A named list of models to be evaluated.
- control_mcmc
A control object for MCMC sampling, created with `set_control_sim()`. Default is `set_control_sim()`.
- spatial_scale
The scale at which predictions are assessed, either `"grid"` or `"area"`.
- messages
Logical, if `TRUE` messages will be displayed during processing. Default is `TRUE`.
- f_grid_target
A function for processing grid-level predictions.
- f_area_target
A function for processing area-level predictions.
- shp
A shapefile of class `sf` or `data.frame` for area-level analysis, required if `spatial_scale = "area"`.
- col_names
Column name in `shp` containing unique region names. If `NULL`, defaults to `"region"`.
- pred_objective
A character vector specifying objectives, either `"mse"`, `"classify"`, or both.
- categories
A numeric vector of thresholds defining categories for classification. Required if `pred_objective = "classify"`.