egf_has_converged function

Test for Convergence

Performs simple diagnostic tests to assess whether the optimizer that produced an estimated model actually converged to a local minimum point of the negative log marginal likelihood function.

egf_has_converged(object, check = TRUE, tol = 1)

Arguments

• object: an egf object.

• check: a logical. If TRUE, then an error is thrown if object

  does not actually inherit from class egf.

• tol: a positive number. Convergence requires all gradient elements to be less than or equal to tol in absolute value.

Returns

TRUE if all tests pass. FALSE if any test fails. NA if no test fails, but the test for a positive definite Hessian matrix is indeterminate because the matrix has not been computed.