Package: GGUM 0.5
Jorge N. Tendeiro
GGUM: Generalized Graded Unfolding Model
An implementation of the generalized graded unfolding model (GGUM) in R, see Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>). It allows to simulate data sets based on the GGUM. It fits the GGUM and the GUM, and it retrieves item and person parameter estimates. Several plotting functions are available (item and test information functions; item and test characteristic curves; item category response curves). Additionally, there are some functions that facilitate the communication between R and 'GGUM2004'. Finally, a model-fit checking utility, MODFIT(), is also available.
Authors:
GGUM_0.5.tar.gz
GGUM_0.5.tar.gz(r-4.5-noble)GGUM_0.5.tar.gz(r-4.4-noble)
GGUM_0.5.tgz(r-4.4-emscripten)GGUM_0.5.tgz(r-4.3-emscripten)
GGUM.pdf |GGUM.html✨
GGUM/json (API)
| # Install 'GGUM' in R: |
| install.packages('GGUM', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/jorgetendeiro/ggum/issues3 issues
Last updated 2 years agofrom:5f01d424ae. Checks:1 OK, 2 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-linux | NOTE | Mar 25 2025 |
| R-4.4-linux | NOTE | Mar 25 2025 |
Exports:export.GGUM2004GenData.GGUMGGUMGUMMODFITplotCRCplotICCplotIIFplotTCCplotTIFprobs.GGUMread.item.GGUM2004read.person.GGUM2004run.GGUM2004Theta.EAPwrite.GGUM2004
Dependencies:abindclicolorspacefansifarverggplot2glueGPArotationgridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmepillarpkgconfigpsychR6rbibutilsRColorBrewerRdpackrJavarlangscalestibbleutf8vctrsviridisviridisLitewithrxlsxxlsxjars
Citation
To cite package ‘GGUM’ in publications use:
Tendeiro J, Castro-Alvarez S (2023). GGUM: Generalized Graded Unfolding Model. R package version 0.5, https://CRAN.R-project.org/package=GGUM.
Corresponding BibTeX entry:
@Manual{,
title = {GGUM: Generalized Graded Unfolding Model},
author = {Jorge N. Tendeiro and Sebastian Castro-Alvarez},
year = {2023},
note = {R package version 0.5},
url = {https://CRAN.R-project.org/package=GGUM},
}
Readme and manuals
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.
Help Manual
| Help page | Topics |
|---|---|
| GGUM | GGUM-package _PACKAGE |
| Exports data in 'GGUM2004' friendly format | export.GGUM2004 |
| Generate data from the GUM/GGUM | GenData.GGUM |
| Fit the generalized graded unfolding model (GGUM) | GGUM |
| Fit the graded unfolding model (GUM) | GUM |
| MODFIT for the GGUM | MODFIT |
| Plot item category response curves (CRCs) | plotCRC |
| Plot item characteristic curves (ICCs) | plotICC |
| Plot item information functions (IIFs) | plotIIF |
| Plot test characteristic curve (TCC) | plotTCC |
| Plot test information function (TIF) | plotTIF |
| Compute model probabilities for the GGUM | probs.GGUM |
| Read 'GGUM2004' item estimates into R | read.item.GGUM2004 |
| Read 'GGUM2004' person estimates into R | read.person.GGUM2004 |
| Call 'GGUM2004' and import the estimated parameters into R | run.GGUM2004 |
| Estimate thetas and their SEs (GUM, GGUM) | Theta.EAP |
| Writes a command file for 'GGUM2004' | write.GGUM2004 |
