Linear Regressions with a Latent Outcome Variable

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


Reference manual

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install.packages("Dire")

2.2.0 by Paul Bailey, 3 years 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: Emmanuel Sikali [pdr] , Paul Bailey [aut, cre] , Eric Buehler [aut] , Sun-joo Lee [aut] , Harold Doran [aut] , Blue Webb [ctb] , Claire Kelley [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports foreach, iterators, methods, Matrix, haven, Rcpp, lbfgs, MASS

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

Linking to Rcpp, RcppArmadillo


Depended on by EdSurvey.


See at CRAN