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Rirt

Data Analysis and Parameter Estimation Using Item Response Theory

Parameter estimation, computation of probability, information, and (log-)likelihood, and visualization of item/test characteristic curves and item/test information functions for three uni-dimensional item response theory models: the 3-parameter-logistic model, generalized partial credit model, and graded response model. The full documentation and tutorials are at <https://github.com/xluo11/Rirt>.

Versions across snapshots

VersionRepositoryFileSize
0.0.2 rolling linux/jammy R-4.5 Rirt_0.0.2.tar.gz 272.6 KiB
0.0.2 rolling linux/noble R-4.5 Rirt_0.0.2.tar.gz 274.8 KiB
0.0.2 rolling source/ R- Rirt_0.0.2.tar.gz 25.8 KiB
0.0.2 latest linux/jammy R-4.5 Rirt_0.0.2.tar.gz 272.6 KiB
0.0.2 latest linux/noble R-4.5 Rirt_0.0.2.tar.gz 274.8 KiB
0.0.2 latest source/ R- Rirt_0.0.2.tar.gz 25.8 KiB
0.0.2 2026-04-26 source/ R- Rirt_0.0.2.tar.gz 25.8 KiB
0.0.2 2026-04-23 source/ R- Rirt_0.0.2.tar.gz 25.8 KiB
0.0.2 2026-04-09 windows/windows R-4.5 Rirt_0.0.2.zip 594.6 KiB
0.0.2 2025-04-20 source/ R- Rirt_0.0.2.tar.gz 25.8 KiB

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