| diagnostics {psychonetrics} | R Documentation |
Diagnostic functions
Description
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.
Usage
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