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:	0.2.5
Depends:	R (≥ 3.6.0)
Imports:	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 (≥ 3.5-19), testthat (≥ 2.1.0)
Published:	2020-05-06
Author:	Hansjörg Plieninger [aut, cre]
Maintainer:	Hansjörg Plieninger <mail at hansjoerg.me>
BugReports:	https://github.com/hplieninger/ItemResponseTrees/issues
License:	MIT + file LICENSE
URL:	https://github.com/hplieninger/ItemResponseTrees
NeedsCompilation:	no
Language:	en-US
Citation:	ItemResponseTrees citation info
Materials:	README NEWS
CRAN checks:	ItemResponseTrees results

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