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


Reference manual: Dire.pdf
Vignettes: MML Covariance Estimation


Package source: Dire_1.0.3.tar.gz
Windows binaries: r-devel: Dire_1.0.3.zip, r-release: Dire_1.0.3.zip, r-oldrel: Dire_1.0.3.zip
macOS binaries: r-release (arm64): Dire_1.0.3.tgz, r-release (x86_64): Dire_1.0.3.tgz, r-oldrel: Dire_1.0.3.tgz
Old sources: Dire archive

Reverse dependencies:

Reverse imports: EdSurvey


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