MLCIRTwithin
Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality
Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.2 |
rolling linux/jammy R-4.5 | MLCIRTwithin_2.1.2.tar.gz |
245.4 KiB |
2.1.2 |
rolling linux/noble R-4.5 | MLCIRTwithin_2.1.2.tar.gz |
245.1 KiB |
2.1.2 |
rolling source/ R- | MLCIRTwithin_2.1.2.tar.gz |
59.0 KiB |
2.1.2 |
latest linux/jammy R-4.5 | MLCIRTwithin_2.1.2.tar.gz |
245.4 KiB |
2.1.2 |
latest linux/noble R-4.5 | MLCIRTwithin_2.1.2.tar.gz |
245.1 KiB |
2.1.2 |
latest source/ R- | MLCIRTwithin_2.1.2.tar.gz |
59.0 KiB |
2.1.2 |
2026-04-26 source/ R- | MLCIRTwithin_2.1.2.tar.gz |
59.0 KiB |
2.1.2 |
2026-04-23 source/ R- | MLCIRTwithin_2.1.2.tar.gz |
59.0 KiB |
2.1.2 |
2026-04-09 windows/windows R-4.5 | MLCIRTwithin_2.1.2.zip |
249.2 KiB |
2.1.1 |
2025-04-20 source/ R- | MLCIRTwithin_2.1.1.tar.gz |
57.6 KiB |