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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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