diagnostics: Diagnostic functions
In psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis

diagnostics

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)