Exploratory Diagnostic Model Base ClassesEDM Classes establish a defined naming and access system for use with a wide variety of modeling types. |
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Construct an EDM Summary class object |
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Construct an EDM model class object with pre-defined names. |
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Construct a property list for the model. |
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AttributesAttributes represent the latent classes and how we establish a bridge to them through bijections. |
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Simulate all the Latent Attribute Profile \(\mathbf{\alpha}_c\) in Matrix form |
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Constructs Unique Attribute Pattern Map for Binary Data |
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Perform an Inverse Bijection of an Integer to Attribute Pattern for Binary Data |
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Q MatrixQ Matrix holds the dichotomous mapping of skills required to solve a problem to items on the assessment. |
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Create a Q Matrix Object |
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Coerce |
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Import a Q Matrix |
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Is object a Q Matrix? |
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Is the \(Q\) Matrix Strictly Identifiable? |
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Is the \(Q\) Matrix Generically Identifiable? |
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Item MatrixItem Matrix stores the correct or incorrect response a subject makes on a given assessment item. Rows are subjects and columns are items. |
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Create an Item Matrix Object |
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Coerce |
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Import an Items Matrix |
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Is object an Item Matrix? |
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MetricsMetrics compute various recovery properties by comparing the estimated result to the known data generating parameters (e.g. ‘oracle model’). |
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Metric for determining the most popular value |
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Metric for Bias |
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Metric for Frobenius Norm |
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Metric for Element-Wise Accuracy |
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Metric for Matrix-Wise Accuracy |
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Link FunctionsLink Functions transform values in the model for better relation with response variables. |
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Link Functions |
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Translate Theta values into Beta values |
PermutationsPermutations relate to how items are re-ordered during a recovery assessment. |
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Reorder an object to match a target as closely as possible |