Theory-Driven Item Response Theory (IRT) Models R package IRTM version 0.0.1.2 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>. Software 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 David Siegel <david.siegel@duke.edu> Comprehensive R Archive Network (CRAN) Marco Morucci [aut], Margaret Foster [aut] (ORCID: <https://orcid.org/0000-0002-6418-8394>), David Siegel [aut, cre] (ORCID: <https://orcid.org/0000-0003-1619-6119>) MIT + file LICENSE (https://CRAN.R-project.org/package=IRTM/LICENSE) 2026-04-21 application/tgz https://CRAN.R-project.org/package=IRTM doi:10.32614/CRAN.package.IRTM en-US