CRAN/E | hlt

hlt

Higher-Order Item Response Theory

Installation

About

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" .

github.com/mkleinsa/hlt
Bug report File report

Key Metrics

Version 1.3.1
R ≥ 3.5.0
Published 2022-08-22 620 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks hlt results

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Maintainer

Maintainer

Michael Kleinsasser

mjkleinsa@gmail.com

Authors

Michael Kleinsasser

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.8
RcppDist
RcppProgress
tidyr
ggplot2
truncnorm
foreach
doParallel

LinkingTo

Rcpp
RcppDist
RcppProgress