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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 |
| Reference manual: | thurstonianIRT.pdf |
| Vignettes: |
Test parameter recovery via simulations with thurstonianIRT |
| 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 imports: | autoFC |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.