Check if an error is recoverable (task-level)

Checks whether an error condition is recoverable at the task level. Recoverable errors include data generation errors, model fitting errors, and metric computation errors. The simulation can continue with other tasks when these errors occur.

Usage

is_recoverable_error(cond)

Arguments

cond

A condition object to test

Value

TRUE if the error is recoverable, FALSE otherwise

Examples

if (FALSE) { # \dontrun{
tryCatch(
  bayesim_fit_error("Model did not converge"),
  bayesim_error = function(cond) {
    if (is_recoverable_error(cond)) {
      # Log error and continue with next task
    }
  }
)
} # }