https://dasiegel.r-universe.devRecent package updates in dasiegelR-universehttps://github.com/dasiegel.pnghttps://dasiegel.r-universe.devTue, 21 Apr 2026 08:12:49 GMTdavid.siegel@duke.edu (David Siegel)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>.https://github.com/r-universe/dasiegel/actions/runs/26277846566Tue, 21 Apr 2026 08:12:49 GMTIRTM0.0.1.2successhttps://dasiegel.r-universe.devhttps://github.com/cran/IRTMintroduction_synth.Rmdintroduction_synth.htmlIRT-M Vignette (Synthetic Data)2025-04-19 12:22:012026-04-21 08:12:49