tam_irf_3pl: Item Response Function for the 3PL Model

In TAM: Test Analysis Modules

Item Response Function for the 3PL Model

Description

Computes the item response function for the 3PL model in the TAM package.

Usage

tam_irf_3pl(theta, AXsi, B, guess=NULL, subtract_max=TRUE)

Arguments

theta	Matrix or vector of \bold{θ} values
AXsi	Matrix of item-category parameters
B	Array containing item-category loadings
guess	Optional parameter of guessing parameters
subtract_max	Logical indicating whether numerical underflow in probabilities should be explicitly avoided

Value

Array containing item response probabilities arranged by the dimensions theta points \times items \times categories

Examples

## Not run: 
#############################################################################
# EXAMPLE 1: 2PL example
#############################################################################

library(sirt)
data(data.read, package="sirt")
dat <- data.read

#* estimate 2PL model
mod <- TAM::tam.mml.2pl( resp=dat )
#* define theta vector
theta <- seq(-3,3, len=41)
#* compute item response probabilities
probs <- TAM::tam_irf_3pl( theta=theta, AXsi=mod$AXsi, B=mod$B )
str(probs)

## End(Not run)

TAM documentation built on Aug. 29, 2022, 1:05 a.m.