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IRTM  

Theory-Driven Item Response Theory (IRT) Models
View on CRAN: Click here


Download and install IRTM package within the R console
Install from CRAN:
install.packages("IRTM")

Install from Github:
library("remotes")
install_github("cran/IRTM")

Install by package version:
library("remotes")
install_version("IRTM", "0.0.1.1")



Attach the package and use:
library("IRTM")
Maintained by
Margaret Foster
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-19
Latest Update: 2025-04-19
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 <https://www.cambridge.org/core/journals/american-political-science-review/article/measurement-that-matches-theory-theorydriven-identification-in-item-response-theory-models/395DA1DFE3DCD7B866DC053D7554A30B>.
How to cite:
Margaret Foster (2025). IRTM: Theory-Driven Item Response Theory (IRT) Models. R package version 0.0.1.1, https://cran.r-project.org/web/packages/IRTM. Accessed 11 Sep. 2026.
Previous versions and publish date:
0.0.1.1 (2025-04-19 14:22), (2026-07-09 08:07)
Other packages that cited IRTM R package
View IRTM citation profile
Other R packages that IRTM depends, imports, suggests or enhances
Complete documentation for IRTM
Functions, R codes and Examples using the IRTM R package
Full IRTM package functions and examples
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