Dire: Linear Regressions with a Latent Outcome Variable
Fit linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, the response is a latent trait (such as student ability) and raw item responses are combined with item difficulties in an item response theory (IRT) framework to form a density for each unit (student). This latent trait is then integrated out. This software is intended to fit the same models as the existing software 'AM' <http://am.air.org/>.
| Version: |
1.0.3 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
minqa, foreach, iterators, methods, Matrix, haven, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, testthat, withr, doParallel, EdSurvey |
| Published: |
2021-04-03 |
| Author: |
Harold Doran [aut],
Paul Bailey [aut, cre],
Eric Buehler [aut],
Sun-joo Lee [aut],
Claire Kelley [ctb],
Emmanuel Sikali [pdr] |
| Maintainer: |
Paul Bailey <pbailey at air.org> |
| BugReports: |
https://github.com/American-Institutes-for-Research/Dire/issues |
| License: |
GPL-2 |
| URL: |
https://american-institutes-for-research.github.io/Dire/ |
| NeedsCompilation: |
yes |
| CRAN checks: |
Dire results |
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