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  "Title": "Performance Criteria Modeler for Discrete Trial Training",
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  "Description": "Provides a tool for computing probabilities and other\nquantities that are relevant in selecting performance criteria\nfor discrete trial training. The main function, miebl(),\ncomputes Bayesian and frequentist probabilities and bounds for\neach of n possible performance criterion choices when\nattempting to determine a student's true mastery level by\ncounting their number of successful attempts at displaying\nlearning among n trials. The reporting function miebl_re()\ntakes output from miebl() and prepares it into a brief report\nfor a specific criterion. miebl_cp() combines 2 to 5\ndistributions of true mastery level given performance criterion\nin one plot for comparison. Ramos (2025)\n<doi:10.1007/s40617-025-01058-9>.",
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