model.FCGGUM: Compute FCGGUM Forced-Choice Pattern Probabilities

In ForceChoice: Forced-Choice Modeling Based on Item Response Theory and Cognitive Diagnostic Models

Compute FCGGUM Forced-Choice Pattern Probabilities

Description

Compute FCGGUM Forced-Choice Pattern Probabilities

Usage

model.FCGGUM(theta, par, patterns.total, patterns)

Arguments

theta	Latent trait matrix.
par	Binary GGUM item parameter matrix with columns a1..aD, delta1..deltaD, tau0, tau1; tau0 is fixed at 0 and tau1 < 0.
patterns.total	Full ranking patterns.
patterns	Observed ranking patterns.

Value

Block ranking probability matrix. The code first computes binary GGUM endorsement probabilities from the distance-based MGGUM formula, transforms them to logits, and then applies the sequential Luce/Plackett rule. MOLE and PICK probabilities are sums over compatible full rankings normalized over observed patterns.

ForceChoice documentation built on Sept. 13, 2026, 1:06 a.m.