irtbem2pl - Marginalized Bayesian Item Parameter Estimation, 2pl Model IRT
Estimates item parameters of the two-parameter logistic
(2PL) model in Item Response Theory (IRT) using the marginal
Bayesian modal estimation via the Expectation-Maximization (EM)
algorithm. The package calibrates item discrimination and
difficulty parameters, yielding results comparable to software
like 'BILOG-MG'.