Dire: Linear Regressions with a Latent Outcome Variable
Fit latent variable linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, a latent distribution is conditional on students item response, item characteristics, and conditioning variables the user includes. This latent trait is then integrated out. This software is intended to fit the same models as the existing software 'AM' <https://am.air.org/>. As of version 2, also allows the user to draw plausible values.
| Version: |
2.2.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
foreach, iterators, methods, Matrix, haven, Rcpp (≥ 1.0.8.3), lbfgs, MASS |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
knitr, rmarkdown, testthat, withr, doParallel, parallel, EdSurvey |
| Published: |
2023-10-26 |
| DOI: |
10.32614/CRAN.package.Dire |
| Author: |
Emmanuel Sikali [pdr],
Paul Bailey [aut, cre],
Eric Buehler [aut],
Sun-joo Lee [aut],
Harold Doran [aut],
Blue Webb [ctb],
Claire Kelley [ctb] |
| 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 |
| Materials: |
NEWS |
| In views: |
Psychometrics |
| CRAN checks: |
Dire results |
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