Package: hlt
Type: Package
Title: Higher-Order Item Response Theory
Version: 1.3.1
Date: 2022-08-14
Authors@R: person("Michael", "Kleinsasser", role=c("aut","cre"), email="mjkleinsa@gmail.com")
Maintainer: Michael Kleinsasser <mjkleinsa@gmail.com>
Description: 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>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.8), RcppDist, RcppProgress, tidyr, ggplot2,
        truncnorm, foreach, doParallel
LinkingTo: Rcpp, RcppDist, RcppProgress
RoxygenNote: 7.2.1
Encoding: UTF-8
URL: https://github.com/mkleinsa/hlt
BugReports: https://github.com/mkleinsa/hlt/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2022-08-19 15:55:47 UTC; mk
Author: Michael Kleinsasser [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-22 10:30:02 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 02:38:10 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
