Last data update: 2014.03.03

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Results 1 - 10 of 10 found.
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iccPlot (Package: ifaTools) : Plot expected and observed table from SitemFit

WARNING: This function is under development. The API may change in a future release.
● Data Source: CranContrib
● Keywords:
● Alias: iccPlot
● 0 images

univariatePrior (Package: ifaTools) : Univariate priors commonly used in IFA models

The returned model evaluates to the fit of the priors in deviance (-2 log likelihood) units. The analytic gradient and Hessian are included for quick optimization using Newton-Raphson.
● Data Source: CranContrib
● Keywords:
● Alias: univariatePrior
● 0 images

replicateModelBy (Package: ifaTools) : Replicate a model for each group of data

The reference group is fixed to a zero mean and identity covariance matrix.
● Data Source: CranContrib
● Keywords:
● Alias: replicateModelBy
● 0 images

addExploratoryFactors (Package: ifaTools) : Adds exploratory factors to a single factor model

Adds exploratory factors to a single factor model
● Data Source: CranContrib
● Keywords:
● Alias: addExploratoryFactors
● 0 images

itemResponseMap (Package: ifaTools) : Create item response map table

Categories are placed at the mean score of the examinees who picked that category.
● Data Source: CranContrib
● Keywords:
● Alias: itemResponseMap
● 0 images

plotInformation (Package: ifaTools) : Plot item information in the latent distribution

For multidimensional items, you will need to supply a basis vector. This vector is normalized to unit length.
● Data Source: CranContrib
● Keywords:
● Alias: plotInformation
● 0 images

modelBuilder (Package: ifaTools) : A Shiny app for building IFA models

A Shiny app for building IFA models
● Data Source: CranContrib
● Keywords:
● Alias: modelBuilder
● 0 images

uniquenessPrior (Package: ifaTools) : Uniqueness prior to assist in item factor analysis

To prevent Heywood cases, Bock, Gibbons, & Muraki (1988) suggested a beta prior on the uniqueness (Equations 43-46). The analytic gradient and Hessian are included for quick optimization using Newton-Raphson.
● Data Source: CranContrib
● Keywords:
● Alias: uniquenessPrior
● 0 images

itemModelExplorer (Package: ifaTools) : A Shiny app to experiment with item models

A Shiny app to experiment with item models
● Data Source: CranContrib
● Keywords:
● Alias: itemModelExplorer
● 0 images

SitemPlot (Package: ifaTools) : Plot expected and observed table from SitemFit

Plot expected and observed table from SitemFit
● Data Source: CranContrib
● Keywords:
● Alias: SitemPlot
● 0 images