SLderivs: Stocking-Lord Derivatives

In wasabi1989/MiscPsycho: Miscellaneous Psychometric Analyses

Description

This function computes the gradient vector and the hessian needed for the SL function to operate

Usage

SLderivs(params1, params2, A = 1, B = 0, control = list())

Arguments

params1	item parameters of the common items used for linking organized as a list of lists for test A
params2	item parameters of the common items used for linking organized as a list of lists for test B
A	The A parameter for the SL transformation
B	The B parameter for the SL transformation
control	See function SL for details on control elements

Author(s)

Harold C. Doran

Examples

## Not run
## SLderivs(params1, params2, control=list(Q=10), A = A, B = B)

wasabi1989/MiscPsycho documentation built on Jan. 19, 2020, 12:29 a.m.