Crandore Hub

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>.

Versions across snapshots

VersionRepositoryFileSize
0.0.1.2 rolling linux/jammy R-4.5 IRTM_0.0.1.2.tar.gz 1.4 MiB
0.0.1.2 rolling linux/noble R-4.5 IRTM_0.0.1.2.tar.gz 1.4 MiB
0.0.1.2 rolling source/ R- IRTM_0.0.1.2.tar.gz 2.3 MiB
0.0.1.2 latest linux/jammy R-4.5 IRTM_0.0.1.2.tar.gz 1.4 MiB
0.0.1.2 latest linux/noble R-4.5 IRTM_0.0.1.2.tar.gz 1.4 MiB
0.0.1.2 latest source/ R- IRTM_0.0.1.2.tar.gz 2.3 MiB
0.0.1.2 2026-04-26 source/ R- IRTM_0.0.1.2.tar.gz 2.3 MiB
0.0.1.2 2026-04-23 source/ R- IRTM_0.0.1.2.tar.gz 2.3 MiB
0.0.1.1 2026-04-09 windows/windows R-4.5 IRTM_0.0.1.1.zip 1.8 MiB
0.0.1.1 2025-04-20 source/ R- IRTM_0.0.1.1.tar.gz 2.3 MiB

Dependencies (latest)

Depends

Imports

LinkingTo

Suggests