tpl: Two Parameter IRT Model Derived Probabilities

In classify: Classification Accuracy and Consistency under IRT models.

Description

Calculate vector of probabilities of success from person and item parameters under the 2pl IRT model.

Usage

  tpl(theta=NULL, beta=NULL, alpha=NULL)

Arguments

theta	Vector of theta parameters
beta	Vector of beta parameters
alpha	Vector of alpha parameters

Details

Calculates vector of probabilities of success from person and item parameters under the 2pl IRT model.

Value

Vector of probabilities of success, persons in columns, items in rows

Examples

theta <- c(-2:2)
beta <- rep(0,5)
alpha <- seq(from=0.2,by=0.2,to=1)
tpl(theta,beta,alpha)

classify documentation built on May 29, 2017, 7:49 p.m.