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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>.
| Version: | 1.3.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.8), RcppDist, RcppProgress, tidyr, ggplot2, truncnorm, foreach, doParallel |
| LinkingTo: | Rcpp, RcppDist, RcppProgress |
| Published: | 2022-08-22 |
| Author: | Michael Kleinsasser [aut, cre] |
| Maintainer: | Michael Kleinsasser <mjkleinsa at gmail.com> |
| BugReports: | https://github.com/mkleinsa/hlt/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/mkleinsa/hlt |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | hlt results |
| Reference manual: | hlt.pdf |
| Package source: | hlt_1.3.1.tar.gz |
| Windows binaries: | r-devel: hlt_1.3.1.zip, r-release: hlt_1.3.1.zip, r-oldrel: hlt_1.3.1.zip |
| macOS binaries: | r-release (arm64): hlt_1.3.1.tgz, r-oldrel (arm64): hlt_1.3.1.tgz, r-release (x86_64): hlt_1.3.1.tgz, r-oldrel (x86_64): hlt_1.3.1.tgz |
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