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This function calculates the upper bound to the Lindley information (i.e., information utility) given a prior.
● Data Source:
CranContrib
● Keywords: models
● Alias: iota.u
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This function returns the Jeffreys prior for an IRT model in the form of a density function, and optionally the normalizing constant of that prior.
● Data Source:
CranContrib
● Keywords: distributions, models
● Alias: Jeffreys
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This function provides Monte Carlo estimates of the criterion information utility.
● Data Source:
CranContrib
● Keywords: models
● Alias: iota.c
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This function generates values distributed according to a Jeffreys prior, using the probability integral transform.
● Data Source:
CranContrib
● Keywords: distributions, models
● Alias: rJeffreys
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This function calculates the lower bound to the Lindley information (i.e., information utility) given a Jeffreys prior normalizing constant or ltm object.
● Data Source:
CranContrib
● Keywords: models
● Alias: iota.l
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This package contains functions for calculating information utility (i.e., Lindley information) quantities for item response models. It requires the ltm package.
● Data Source:
CranContrib
● Keywords: distributions, models
● Alias: infutil-package
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This function calculates the normalized minimum reduction in uncertainty (NMRU) for a test, given an item response model.
● Data Source:
CranContrib
● Keywords: models
● Alias: nmru
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This function calculates Lindley information (i.e., information utility) quantities for item response patterns, including the Lindley information for individual response patterns and the expected information for a set of response patterns.
● Data Source:
CranContrib
● Keywords: models
● Alias: iota
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