IRTM: Theory-Driven Item Response Theory (IRT) Models

IRT-M is a semi-supervised approach based on Bayesian Item Response Theory that produces theoretically identified underlying dimensions from input data and a constraints matrix. The methodology is fully described in 'Morucci et al. (2024), "Measurement That Matches Theory: Theory-Driven Identification in Item Response Theory Models"'. Details are available at <https://www.cambridge.org/core/journals/american-political-science-review/article/measurement-that-matches-theory-theorydriven-identification-in-item-response-theory-models/395DA1DFE3DCD7B866DC053D7554A30B>.

Version:	0.0.1.1
Depends:	truncnorm, tmvtnorm, utils, RcppProgress, RcppDist, ggplot2, R (≥ 3.5.0)
Imports:	coda, Rcpp, RcppArmadillo, ggridges, rlang, dplyr, reshape2
LinkingTo:	Rcpp, RcppArmadillo, RcppDist, RcppProgress
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), RColorBrewer, fastDummies, ggrepel, tidyverse, spelling
Published:	2025-04-19
DOI:	10.32614/CRAN.package.IRTM
Author:	Marco Morucci [aut], Margaret Foster [cre], David Siegel [aut]
Maintainer:	Margaret Foster <m.jenkins.foster at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	yes
Language:	en-US
Materials:	README
CRAN checks:	IRTM results

Documentation:

Reference manual:	IRTM.pdf
Vignettes:	IRT-M Vignette (Synthetic Data) (source, R code)

Downloads:

Package source:	IRTM_0.0.1.1.tar.gz
Windows binaries:	r-devel: IRTM_0.0.1.1.zip, r-release: IRTM_0.0.1.1.zip, r-oldrel: IRTM_0.0.1.1.zip
macOS binaries:	r-release (arm64): IRTM_0.0.1.1.tgz, r-oldrel (arm64): IRTM_0.0.1.1.tgz, r-release (x86_64): IRTM_0.0.1.1.tgz, r-oldrel (x86_64): IRTM_0.0.1.1.tgz

Linking:

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