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/>.
||R (≥ 3.3.0)
||minqa, foreach, iterators, methods, Matrix, haven, Rcpp
||knitr, rmarkdown, testthat, withr, doParallel, EdSurvey
||Harold Doran [aut],
Paul Bailey [aut, cre],
Eric Buehler [aut],
Sun-joo Lee [aut],
Claire Kelley [ctb],
Emmanuel Sikali [pdr]
||Paul Bailey <pbailey at air.org>
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