Linear Regressions with a Latent Outcome Variable

Fit linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) . 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/>.


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install.packages("Dire")

1.0.3 by Paul Bailey, a month ago


https://american-institutes-for-research.github.io/Dire/


Report a bug at https://github.com/American-Institutes-for-Research/Dire/issues


Browse source code at https://github.com/cran/Dire


Authors: Harold Doran [aut] , Paul Bailey [aut, cre] , Eric Buehler [aut] , Sun-joo Lee [aut] , Claire Kelley [ctb] , Emmanuel Sikali [pdr]


Documentation:   PDF Manual  


GPL-2 license


Imports minqa, foreach, iterators, methods, Matrix, haven, Rcpp

Suggests knitr, rmarkdown, testthat, withr, doParallel, EdSurvey

Linking to Rcpp


See at CRAN