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Run this function before fitting a nominal response model or nested logit model. The function prepares the data.frame for the estimation, adds and displays information and allows the user to submit a group estimation design which results in the creation of a Q-Matrix (Design Matrix).
● Data Source:
CranContrib
● Keywords: nested logit model, nominal response model, reshape
● Alias: reshMG
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This function yields nonparametric measures for getting insight into items and response categories. There are two groups expected - a reference group and a focal group. The empirical item response curves are the basis of the resulting indices.
● Data Source:
CranContrib
● Keywords: DDF
● Alias: DDF
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This function simulates data according to the Nominal Response Model.
● Data Source:
CranContrib
● Keywords: nominal response model, simulate
● Alias: NRM.sim
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This function creates a design skeleton – which is only needed for multiple group data. This skeleton serves as template which can be changed by the user to define item by group interaction. The design is used as input for the reshape (reshMG()) function.
● Data Source:
CranContrib
● Keywords: nested logit model, nominal response model
● Alias: designTemp
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This function fits a Nested Logit model proposed by Suh and Bolt (2010). Like the Nominal Response Model this model is especially useful for multiple choice items. In contrast to the Nominal Response Model it models the correct answer category by means of a 2-PL model. For the distractors a NRM is fitted (for details take a closer look at the references mentioned below.)
● Data Source:
CranContrib
● Keywords: nested logit model
● Alias: deviance.nelm, logLik.nelm, nelm, print.nelm, summary.nelm
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This function visualizes DDF summary indices and empirical distractor functions.
● Data Source:
CranContrib
● Keywords: DDF
● Alias: plot.standardization
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This function fits a Nominal Response Model as proposed by Bock (1972). The model estimates two parameters for each response category: ζ and λ. The model ist best suited for a set of items with more than two nominal response categories.
● Data Source:
CranContrib
● Keywords: nominal response model
● Alias: deviance.nrm, logLik.nrm, nrm, print.nrm, summary.nrm
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Plot Category/Item/Test Information functions for nominal response models and nested logit models.
● Data Source:
CranContrib
● Keywords: plot
● Alias: plotINF
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This function applies likelihood ratio tests between one reference model (object) and some competing models.
● Data Source:
CranContrib
● Keywords: lrt
● Alias: lrt, lrt.modc, lrt.nelm, lrt.nrm
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This plotting routine draws the Category Characteristic Curves (CCC) for each item.
● Data Source:
CranContrib
● Keywords: plot
● Alias: plot.nrm
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providing 
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