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Run parameter-recovery, coverage, and misspecification validation

Source: R/021-validation-program.R
run_model_validation.Rd

The fitter may return a model or throw an error. The extractor must return a data frame with `parameter`, `estimate`, and optionally `std_error`, `lower`, and `upper`. The truth extractor must return a named numeric vector.

Usage

run_model_validation(
  simulator,
  fitter,
  extractor,
  truth_extractor,
  grid = NULL,
  spec = model_validation_spec(),
  seed = 1L,
  continue_on_error = TRUE
)

Arguments

simulator

Simulation function.

fitter

Estimation function receiving the simulation result.

extractor

Parameter extraction function.

truth_extractor

Truth extraction function.

grid

Scenario grid.

spec

Validation specification.

seed

Random seed.

continue_on_error

Record rather than stop on estimation errors.

Value

An `eye_model_validation` object.