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IRTM

Theory-Driven Item Response Theory (IRT) Models

v0.0.1.1 · Apr 19, 2025 · MIT + file LICENSE

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>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies truncnorm tmvtnorm RcppProgress RcppDist ggplot2 coda Rcpp RcppArmadillo ggridges rlang dplyr reshape2 IRTM

Version History

new 0.0.1.1 Mar 10, 2026