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: 2.0.1
Depends: R (≥ 4.0.0)
Imports: foreach, iterators, methods, Matrix, haven, Rcpp, MASS
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat, withr, doParallel, parallel, EdSurvey
Published: 2022-04-19
Author: Emmanuel Sikali [pdr], Paul Bailey [aut, cre], Eric Buehler [aut], Sun-joo Lee [aut], Harold Doran [aut], 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


Reference manual: Dire.pdf
Vignettes: MML Covariance Estimation


Package source: Dire_2.0.1.tar.gz
Windows binaries: r-devel: Dire_2.0.1.zip, r-release: Dire_2.0.1.zip, r-oldrel: Dire_2.0.1.zip
macOS binaries: r-release (arm64): Dire_2.0.1.tgz, r-oldrel (arm64): Dire_2.0.1.tgz, r-release (x86_64): Dire_2.0.1.tgz, r-oldrel (x86_64): Dire_2.0.1.tgz
Old sources: Dire archive

Reverse dependencies:

Reverse imports: EdSurvey


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