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 + fileLICENSE |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | IRTM results |
Documentation:
| Reference manual: | IRTM.html ,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:
Please use the canonical formhttps://CRAN.R-project.org/package=IRTMto link to this page.