Package: IRTM Title: Theory-Driven Item Response Theory (IRT) Models Version: 0.0.1.2 Authors@R: c(person(given = "Marco", family = "Morucci", role = "aut", email = "moruccim@msu.edu"), person(given = "Margaret", family = "Foster", role = "aut", email = "m.jenkins.foster@gmail.com", comment = c(ORCID = "0000-0002-6418-8394")), person(given = "David", family = "Siegel", role = c("aut", "cre"), email = "david.siegel@duke.edu", comment = c(ORCID = "0000-0003-1619-6119"))) Description: 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 . License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.2 Depends: truncnorm, tmvtnorm, utils, RcppProgress, RcppDist, ggplot2, R (>= 3.5.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0), RColorBrewer, fastDummies, ggrepel, tidyverse, spelling VignetteBuilder: knitr LazyData: true LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress Imports: coda, Rcpp, RcppArmadillo, ggridges, rlang, dplyr, reshape2, Config/testthat/edition: 3 Language: en-US NeedsCompilation: yes Packaged: 2026-10-26 08:30:50 UTC; root Author: Marco Morucci [aut], Margaret Foster [aut] (ORCID: ), David Siegel [aut, cre] (ORCID: ) Maintainer: David Siegel Repository: https://cran.r-universe.dev Date/Publication: 2026-04-21 08:12:49 UTC RemoteUrl: https://github.com/cran/IRTM RemoteRef: HEAD RemoteSha: a9559886041480ce5785d4ac86f3f0f5bcc30766