profileci numerically computes the profile likelihood confidence interval of the latent trait of an item response model for a given response vector or sum score(s).
● Data Source:
CranContrib
● Keywords:
● Alias: profileci
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fmodel1pl evaluates the (unnormalized) posterior density of the latent trait of a one-parameter binary logistic item response model with given prior distribution, and computes the probabilities for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodel1pl
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fmodelpcm evaluates the (unnormalized) posterior density of the latent trait of a rating scale item response model with a given prior distribution, and computes the probability for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodelrsm
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fmodel3pp evaluates the (unnormalized) posterior density of the latent trait of a three-parameter binary probit item response model with given prior distribution, and computes the probabilities for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodel3pp
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information computes the Fisher (test, item, and category) and observed (test only) information for an item response model. Fisher information can be computed at any specified value of zeta but observed information is computed only at the MLE.
● Data Source:
CranContrib
● Keywords:
● Alias: information
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fmodel2pl evaluates the (unnormalized) posterior density of the latent trait of a two-parameter binary logistic item response model with given prior distribution, and computes the probabilities for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodel2pl
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fmodel3pl evaluates the (unnormalized) posterior density of the latent trait of a three-parameter binary logistic item response model with given prior distribution, and computes the probabilities for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodel3pl
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fmodelnrm evaluates the (unnormalized) posterior density of the latent trait of the nominal response model with given prior distribution, and computes the probabilities for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodelnrm
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fmodel1pp evaluates the (unnormalized) posterior density of the latent trait of a one-parameter binary probit item response model with given prior distribution, and computes the probabilities for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodel1pp
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fmodelpcm evaluates the (unnormalized) posterior density of the latent trait of a partial credit item response model with a given prior distribution, and computes the probability for each item and response category given the latent trait.
● Data Source:
CranContrib
● Keywords:
● Alias: fmodelpcm
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