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Get Default Prior Values for Disaggregation Model

Source: R/utils.R
get_priors.Rd

Calculates the default Penalized Complexity (PC) prior parameters and Gaussian priors that will be used by disag_model_mmap() if the user does not provide overrides.

Usage

get_priors(data)

Arguments

data

A disag_data_mmap object (output from prepare_data_mmap).

Value

A named list of prior specifications.

Details

The default priors are dynamic and depend on the input data:

  • Range (Rho): The lower bound prior_rho_min is set to 1/3 of the diagonal length of the study area's bounding box.

  • Spatial SD (Sigma): The upper bound prior_sigma_max is set to the coefficient of variation of the polygon response counts.

Examples

if (FALSE) { # \dontrun{
# Check defaults before fitting
defaults <- get_priors(my_data)
print(defaults)

# Use defaults as a base to modify specific values
my_priors <- defaults
my_priors$prior_rho_prob <- 0.05 # Stricter probability
fit <- disag_model_mmap(my_data, priors = my_priors)
} # }