Package index
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fit.model() - Estimate the model parameters
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fit.model.testlet() - Fit model with testlet
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get.cases() - Returns cases (person and occasion) applied in [fit.model] function.
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passage2 - Passage-level Oral Reading Fluency assessment data set
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plot(<information>) - Plot function to show information of calibration
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plot(<person>) - Plot function to show graph of scoring class
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plot(<task>) - Plot function to show graph of fit.model class
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plot(<wcpm>) - Plot function to show graph of wcpm information from scoring class
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prep() - This file includes utilities of bspam package.
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scoring() - Estimate factor scores with task-level model
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sentence.cens.high - Sentence-level data set with high censoring
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sentence.cens.low - Sentence-level data set with low censoring
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sentence.level.data - Sentence-level Oral Reading Fluency assessment data set
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summary(<bootstrap>) - summary the information of bootstrap class
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summary(<fit.model>) - summary the information of fit.model class
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summary(<fit.model.testlet>) - summary the information of fit.model.testlet class
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summary(<scoring>) - summary the information of wcpm class