Fits a multivariate valueadded model (VAM), see Broatch, Green, and Karl (2018) <doi:10.32614/RJ2018033> and Broatch and Lohr (2012) <doi:10.3102/1076998610396900>, with normally distributed test scores and a binary outcome indicator. A pseudolikelihood approach, Wolfinger (1993) <doi:10.1080/00949659308811554>, is used for the estimation of this joint generalized linear mixed model. The inner loop of the pseudolikelihood routine (estimation of a linear mixed model) occurs in the framework of the EM algorithm presented by Karl, Yang, and Lohr (2013) <DOI:10.1016/j.csda.2012.10.004>. This material is based upon work supported by the National Science Foundation under grants DRL1336027 and DRL1336265.
Package details 


Author  Andrew T. Karl, Jennifer Broatch, and Jennifer Green 
Maintainer  Andrew Karl <[email protected]> 
License  GPL2 
Version  0.43 
Package repository  View on CRAN 
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