Rirt: Data Analysis and Parameter Estimation Using Item Response Theory (original) (raw)
Parameter estimation, computation of probability, information, and (log-)likelihood, and visualization of item/test characteristic curves and item/test information functions for three uni-dimensional item response theory models: the 3-parameter-logistic model, generalized partial credit model, and graded response model. The full documentation and tutorials are at <https://github.com/xluo11/Rirt>.
| Version: | 0.0.2 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | ggplot2, Rcpp, reshape2, stats |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2019-10-23 |
| DOI: | 10.32614/CRAN.package.Rirt |
| Author: | Xiao Luo [aut, cre] |
| Maintainer: | Xiao Luo |
| BugReports: | https://github.com/xluo11/Rirt/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/xluo11/Rirt |
| NeedsCompilation: | yes |
| In views: | Psychometrics |
| CRAN checks: | Rirt results |
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