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Program for fitting Item Response Theory (IRT) two (2PL) and
three (3PL) parameter logistic models.
Implements Joint Maximum Likelihood (JML) algorithm
(currently only supported in 2PL model) and via
generic function optimization using L-BFGS-B (both 2PL and 3PL).
Calculates item parameter and subject ability estimates and
log likelihood statistics. For contestant abilities supports
error estimates via Fisher information, and via two algorithms
of the author, namely bootstrap and Bayes a posteriori probability.
Supports outputting coordinate list for a plot of Bayes
a posteriori probability of individual subject abilities.