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GGUM

The GGUM package fits the generalized graded response model (GGUM; Roberts et al., 1996, 2000). It is based on marginal maximum likelihood (Roberts et al., 2000) to estimate the item parameters and an estimated a posteriori (EAP) method to estimate the person parameters.

This package produces comparable results to the ones based on the GGUM2004 program (Roberts et al., 2000; Roberts et al., 2006), for the GUM (Model 3 in GGUM2004) and the GGUM (Model 8 in GGUM2004). For those accustomed to using GGUM2004, this packages provides a useful set of functions that allow exporting data and code to GGUM2004, running GGUM2004, and retrieving the parameter estimates. Thus, if desired, one can run GGUM2004 and retrieve the results completely from within the R environment.

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Install

install.packages('GGUM')

Monthly Downloads

273

Version

0.5

License

GPL (>= 2)

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Maintainer

Jorge N. Tendeiro

Last Published

September 8th, 2023

Functions in GGUM (0.5)

probs.GGUM

Compute model probabilities for the GGUM
write.GGUM2004

Writes a command file for 'GGUM2004'
plotTIF

Plot test information function (TIF)
run.GGUM2004

Call 'GGUM2004' and import the estimated parameters into R
plotTCC

Plot test characteristic curve (TCC)
read.person.GGUM2004

Read 'GGUM2004' person estimates into R
read.item.GGUM2004

Read 'GGUM2004' item estimates into R
plotIIF

Plot item information functions (IIFs)
export.GGUM2004

Exports data in 'GGUM2004' friendly format
Theta.EAP

Estimate thetas and their SEs (GUM, GGUM)
MODFIT

MODFIT for the GGUM
plotICC

Plot item characteristic curves (ICCs)
GUM

Fit the graded unfolding model (GUM)
plotCRC

Plot item category response curves (CRCs)
GGUM

Fit the generalized graded unfolding model (GGUM)
GGUM-package

GGUM
GenData.GGUM

Generate data from the GUM/GGUM