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-4.7)GGUM_0.5.zip(r-4.6)GGUM_0.5.zip(r-4.5)
GGUM_0.5.tgz(r-4.6-any)GGUM_0.5.tgz(r-4.5-any)
GGUM_0.5.tar.gz(r-4.7-any)GGUM_0.5.tar.gz(r-4.6-any)
GGUM_0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
GGUM/json (API)

# Install 'GGUM' in R:
install.packages('GGUM', repos = c('https://jorgetendeiro.r-universe.dev', 'https://cloud.r-project.org'))

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

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

On CRAN:

Conda:

openjdk

4.99 score 6 stars 1 packages 18 scripts 409 downloads 3 mentions 16 exports 30 dependencies

Last updated from:14494dde38. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE166
source / vignettesOK170
linux-release-x86_64NOTE173
macos-release-arm64NOTE141
macos-oldrel-arm64NOTE221
windows-develNOTE149
windows-releaseNOTE109
windows-oldrelNOTE117
wasm-releaseOK126

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

Dependencies:abindclicpp11farverggplot2glueGPArotationgridExtragtableisobandlabelinglatticelifecyclemnormtnlmepsychR6rbibutilsRColorBrewerRdpackrJavarlangS7scalesvctrsviridisviridisLitewithrxlsxxlsxjars