hlt
Higher-Order Item Response Theory
Higher-order latent trait theory (item response theory). We implement the generalized partial credit model with a second-order latent trait structure. Latent regression can be done on the second-order latent trait. For a pre-print of the methods, see, "Latent Regression in Higher-Order Item Response Theory with the R Package hlt" <https://mkleinsa.github.io/doc/hlt_proof_draft_brmic.pdf>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.1 |
rolling source/ R- | hlt_1.3.1.tar.gz |
2.9 MiB |
1.3.1 |
rolling linux/jammy R-4.5 | hlt_1.3.1.tar.gz |
3.1 MiB |
1.3.1 |
rolling linux/noble R-4.5 | hlt_1.3.1.tar.gz |
3.1 MiB |
1.3.1 |
latest source/ R- | hlt_1.3.1.tar.gz |
2.9 MiB |
1.3.1 |
latest linux/jammy R-4.5 | hlt_1.3.1.tar.gz |
3.1 MiB |
1.3.1 |
latest linux/noble R-4.5 | hlt_1.3.1.tar.gz |
3.1 MiB |
1.3.1 |
2026-04-23 source/ R- | hlt_1.3.1.tar.gz |
2.9 MiB |
1.3.1 |
2026-04-09 windows/windows R-4.5 | hlt_1.3.1.zip |
3.4 MiB |
1.3.1 |
2025-04-20 source/ R- | hlt_1.3.1.tar.gz |
2.9 MiB |