Package: GGUM 0.5

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:Jorge N. Tendeiro [aut, cre], Sebastian Castro-Alvarez [aut]

GGUM_0.5.tar.gz
GGUM_0.5.zip(r-4.5)GGUM_0.5.zip(r-4.4)GGUM_0.5.zip(r-4.3)
GGUM_0.5.tgz(r-4.4-any)GGUM_0.5.tgz(r-4.3-any)
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 = c('https://jorgetendeiro.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jorgetendeiro/ggum/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

4.99 score 6 stars 1 packages 18 scripts 318 downloads 3 mentions 16 exports 39 dependencies

Last updated 1 years agofrom:14494dde38. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winNOTENov 01 2024
R-4.5-linuxNOTENov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macNOTENov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:export.GGUM2004GenData.GGUMGGUMGUMMODFITplotCRCplotICCplotIIFplotTCCplotTIFprobs.GGUMread.item.GGUM2004read.person.GGUM2004run.GGUM2004Theta.EAPwrite.GGUM2004

Dependencies:abindclicolorspacefansifarverggplot2glueGPArotationgridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmepillarpkgconfigpsychR6rbibutilsRColorBrewerRdpackrJavarlangscalestibbleutf8vctrsviridisviridisLitewithrxlsxxlsxjars