Package index
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cs_calibrate() - Bayesian calibration of new items with predicted priors
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cs_check() - Which item families' predictions can be trusted?
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cs_distrust() - Withdraw priors for untrustworthy families
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cs_plan() - Plan pretest sample sizes for a target precision
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cs_predictor() - Predict item difficulty from item features, with honest uncertainty
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cs_responses() - Simulate pretest responses to new items
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cs_simulate() - Simulate an item bank with features and known difficulties
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predict(<cs_predictor>) - Predicted difficulty and predictive SD for new items