Parallel test execution helper

Executes a set of registered diagnostics in parallel when multiple CPU cores are available, falling back to sequential execution otherwise.

Usage

runHeteroTestsParallel(model, data, tests, n_cores = NULL)

Arguments

model

Fitted model object passed to each diagnostic. Must be compatible with the internal .test_factory registry.

data

Data frame used to fit model and supplied to each diagnostic.

tests

Character vector naming the diagnostics to execute.

n_cores

Optional positive integer giving the number of worker processes to spawn. Defaults to parallel::detectCores() - 1, with a lower bound of 1.

Value

Named list of test results in the order provided by tests.

Details

When n_cores exceeds one and the parallel package is available, the helper evaluates the diagnostics via parallel::parLapply() after exporting the model and data to the worker environment. On systems without fork support the function gracefully reverts to sequential execution.

See also

cachedTest() for memoised execution of individual diagnostics.