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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>.
Getting started
Browse package contents
Package details |
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| Author | Michael Kleinsasser [aut, cre] |
| Maintainer | Michael Kleinsasser <mjkleinsa@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.3.1 |
| URL | https://github.com/mkleinsa/hlt |
| Package repository | View on CRAN |
| Installation |
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