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.

Version:	0.4-3
Imports:	stats, utils, psych, abind, viridis, Rdpack, xlsx
Published:	2021-10-07
Author:	Jorge N. Tendeiro [aut, cre], Sebastian Castro-Alvarez [aut]
Maintainer:	Jorge N. Tendeiro <tendeiro at hiroshima-u.ac.jp>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/jorgetendeiro/GGUM/
NeedsCompilation:	no
Materials:	README
CRAN checks:	GGUM results

Documentation:

Reference manual:

GGUM.pdf

Downloads:

Package source:	GGUM_0.4-3.tar.gz
Windows binaries:	r-devel: GGUM_0.4-3.zip, r-release: GGUM_0.4-3.zip, r-oldrel: GGUM_0.4-3.zip
macOS binaries:	r-release (arm64): GGUM_0.4-3.tgz, r-oldrel (arm64): GGUM_0.4-3.tgz, r-release (x86_64): GGUM_0.4-3.tgz, r-oldrel (x86_64): GGUM_0.4-3.tgz
Old sources:	GGUM archive

Reverse dependencies:

Reverse imports:

bmggum

Linking:

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