ability_gradient        Gradient of ML ability scores with respect to
                        item parameters
ability_gradient_1pl    Gradient of ML ability scores w.r.t. 1PL item
                        parameters
ability_risk            Propagated ability risk from item-parameter
                        uncertainty
ability_risk_1pl        Propagated ability risk for a 1PL fit
diagnose_lambda_grid    Diagnose lambda values over a grid
fit_1pl                 Fit a 1PL (one-parameter logistic) model
fit_2pl                 Fit a unidimensional 2PL IRT model
fit_mixed_subjects      Fit a mixed-subjects 2PL calibration
fit_mixed_subjects_1pl
                        Fit a mixed-subjects 1PL calibration (frozen
                        expected-count)
fit_mixed_subjects_from_quadrature
                        Fit from precomputed quadrature summaries
fit_mixed_subjects_iterative
                        Fit a mixed-subjects 2PL calibration with
                        iterative EM
fit_mixed_subjects_mml
                        Fit a mixed-subjects 2PL calibration via
                        marginal maximum likelihood
fit_mixed_subjects_mml_1pl
                        Fit a mixed-subjects 1PL calibration via
                        marginal maximum likelihood
fit_mixed_subjects_split
                        Fit a split-sample mixed-subjects 2PL
                        calibration
link_item_parameters    Link item parameters onto a target scale
make_quadrature         Create a standard-normal Gauss-Hermite
                        quadrature grid
mixed_subjects_loss     Mixed-subjects objective function
mixed_subjects_quadrature
                        Convert responses to quadrature form
posterior_weights_2pl   Compute posterior quadrature weights for a 2PL
                        model
score_theta             Estimate ability scores from a 2PL calibration
simulate_2pl            Simulate 2PL item responses
summarize_expected_counts
                        Summarize response data as expected quadrature
                        counts
tune_lambda_ability_risk
                        Tune lambda by downstream ability-score risk
tune_lambda_ability_risk_1pl
                        Tune lambda by downstream ability-score risk
                        for a 1PL model
tune_lambda_ability_risk_crossfit
                        Cross-fit ability-score-risk lambda tuning
tune_lambda_ability_risk_item
                        Per-item ability-risk lambda tuning via
                        coordinate descent
tune_lambda_ppi_score   Plug-in PPI++ optimal tuning parameter
tune_lambda_ppi_score_1pl
                        Plug-in PPI++ optimal tuning parameter for a
                        1PL model
tune_lambda_ppi_score_item
                        Per-item PPI++ optimal tuning parameters
vcov_mixed_subjects     Sandwich covariance for a mixed-subjects fit
vcov_mixed_subjects_1pl
                        Sandwich covariance for a 1PL mixed-subjects
                        fit
vcov_mixed_subjects_mml
                        Marginal-MML sandwich covariance for a
                        mixed-subjects fit
