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' <>.


Reference manual

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1.0.3 by Paul Bailey, 10 months ago

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Browse source code at

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

Imported by EdSurvey.

See at CRAN