diagnostics function

Diagnostic functions

The 'checkJacobian' function can be used to check if the analytic gradient / Jacobian is aligned with the numerically approximated gradient / Jacobian, and the 'checkFisher' function can be used to check if the analytic Hessian is aligned with the numerically approximated Hessian.

checkJacobian(x, f = "default", jac = "default", transpose = FALSE, 
          plot = TRUE, perturbStart = FALSE, method = "Richardson")

checkFisher(x, f = "default", fis = "default", transpose = FALSE, 
          plot = TRUE,  perturbStart = FALSE)

Arguments

• x: A 'psychonetrics' object
• f: A custom fit function or the psychonetrics default fit function (default).
• jac: A custom Jacobian function or the psychonetrics default Jacobian function (default).
• fis: A custom Fischer information function or the psychonetrics default Fischer information function (default).
• transpose: Should the numeric Jacobian be transposed?
• plot: Should a diagnostic plot be produced?
• perturbStart: Should start values be perturbed (only used in development)
• method: Numeric derivative method (default: Richardson)

Author(s)

Sacha Epskamp