ItemResponseTrees: IR-Tree Modeling in 'mirt', 'Mplus', or 'TAM'

Item response tree (IR-tree) models are a class of item response theory (IRT) models that assume that the responses to polytomous items can best be explained by multiple psychological processes; see Böckenholt (2012) <doi:10.1037/a0028111> for details. The package 'ItemResponseTrees' allows to fit such IR-tree models in 'mirt', 'Mplus', or 'TAM'. The package automates some of the hassle of IR-tree modeling by means of a consistent syntax. This allows new users to quickly adopt this model class, and this allows experienced users to fit many complex models effortlessly.

Version: 0.2.4
Depends: R (≥ 3.4)
Imports: backports, checkmate (≥ 1.9), dplyr, generics, glue, magrittr, MASS, Matrix, methods, mirt (≥ 1.30), purrr, rlang (≥ 0.4.0), sets, stringr, tibble, tidyr (≥ 1.0.0), tidyselect
Suggests: covr, future, knitr, listenv, lme4, modeltests (≥ 0.1.0), MplusAutomation (≥ 0.7), progress, rmarkdown, roxygen2, simsalapar, sfsmisc, spelling, TAM, testthat (≥ 2.1.0)
Published: 2020-04-24
Author: Hansjörg Plieninger ORCID iD [aut, cre]
Maintainer: Hansjörg Plieninger <mail at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: ItemResponseTrees citation info
Materials: README NEWS
CRAN checks: ItemResponseTrees results


Reference manual: ItemResponseTrees.pdf
Vignettes: Getting started with IR-trees
Package source: ItemResponseTrees_0.2.4.tar.gz
Windows binaries: r-prerelease: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-prerelease: not available, r-release: not available, r-oldrel: not available


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