tcl_scorefun: Computation of score function.
In tcl: Testing in Conditional Likelihood Context

tcl_scorefun

R Documentation

Computation of score function.

Description

Uses function jacobian() from numDeriv package to compute (approximate numerically) score function (first order partial derivatives of conditional log likelihood function) evaluated at arbitrary values of item easiness parameters.

Usage

tcl_scorefun(X, eta, W, model = "RM")

Arguments

`X`	data matrix.
`eta`	numeric vector of item easiness parameters.
`W`	design matrix.
`model`	RM, PCM, RSM, LLTM.

Value

Score function evaluated at eta

References

Gilbert, P., Gilbert, M. P., & Varadhan, R. (2016). numDeriv: Accurate Numerical Derivatives. R package version 2016.8-1.1. url: https://CRAN.R-project.org/package=numDeriv

Examples

## Not run: 
# Rasch model with beta_1 restricted to 0
y <- eRm::raschdat1
res <- eRm::RM(X = y, sum0 = FALSE)
scorefun <- tcl_scorefun(X = y, eta = res$etapar, model = "RM")

## End(Not run)

tcl documentation built on Sept. 17, 2024, 1:08 a.m.