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CRAN: Package thurstonianIRT

thurstonianIRT: Thurstonian IRT Models

Fit Thurstonian Item Response Theory (IRT) models in R. This package supports fitting Thurstonian IRT models and its extensions using 'Stan', 'lavaan', or 'Mplus' for the model estimation. Functionality for extracting results, making predictions, and simulating data is provided as well. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Bürkner et al. (2019) <doi:10.1177/0013164419832063>.

Version: 0.12.5
Depends: R (≥ 3.5.0), Rcpp (≥ 0.12.16), methods
Imports: dplyr (≥ 0.6.0), magrittr, mvtnorm, RcppParallel (≥ 5.0.1), rlang, rstan (≥ 2.26.0), rstantools (≥ 2.1.1), stats, tibble (≥ 1.3.1), tidyr, lavaan (≥ 0.6-1), utils
LinkingTo: BH (≥ 1.66.0-1), Rcpp (≥ 0.12.16), RcppEigen (≥ 0.3.3.4.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests: MplusAutomation, knitr, testthat (≥ 0.9.1), rmarkdown
Published: 2024-04-17
DOI: 10.32614/CRAN.package.thurstonianIRT
Author: Paul-Christian Bürkner [aut, cre], Angus Hughes [ctb], Trustees of Columbia University [cph]
Maintainer: Paul-Christian Bürkner <paul.buerkner at gmail.com>
BugReports: https://github.com/paul-buerkner/thurstonianIRT/issues
License: GPL (≥ 3)
URL: https://github.com/paul-buerkner/thurstonianIRT
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README, NEWS
In views: Psychometrics
CRAN checks: thurstonianIRT results

Documentation:

Reference manual: thurstonianIRT.html , thurstonianIRT.pdf
Vignettes: Test parameter recovery via simulations with thurstonianIRT (source, R code)

Downloads:

Package source: thurstonianIRT_0.12.5.tar.gz
Windows binaries: r-devel: thurstonianIRT_0.12.5.zip, r-release: thurstonianIRT_0.12.5.zip, r-oldrel: thurstonianIRT_0.12.5.zip
macOS binaries: r-release (arm64): thurstonianIRT_0.12.5.tgz, r-oldrel (arm64): thurstonianIRT_0.12.5.tgz, r-release (x86_64): thurstonianIRT_0.12.5.tgz, r-oldrel (x86_64): thurstonianIRT_0.12.5.tgz
Old sources: thurstonianIRT archive

Reverse dependencies:

Reverse imports: autoFC

Linking:

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