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
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 279 downloads 3 mentions 16 exports 30 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE157
source / vignettesOK252
linux-release-x86_64NOTE157
macos-release-arm64NOTE129
macos-oldrel-arm64NOTE98
windows-develNOTE164
windows-releaseNOTE108
windows-oldrelNOTE106
wasm-releaseOK116

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

Dependencies:abindclicpp11farverggplot2glueGPArotationgridExtragtableisobandlabelinglatticelifecyclemnormtnlmepsychR6rbibutilsRColorBrewerRdpackrJavarlangS7scalesvctrsviridisviridisLitewithrxlsxxlsxjars