Item Response Theory Calibration with a Mixed Subjects Design

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Documentation for package ‘mixedsubjectsirt’ version 1.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

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