RealVAMS: Multivariate VAM Fitting

Fits a multivariate value-added model (VAM), see Broatch and Lohr (2012) <doi:10.3102/1076998610396900>, with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) <doi:10.1080/00949659308811554>, is used for the estimation of this joint generalized linear mixed model. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.

AuthorAndrew T. Karl, Jennifer Broatch, and Jennifer Green
Date of publication2017-03-14 17:01:16
MaintainerAndrew Karl <akarl@asu.edu>
LicenseGPL-2
Version0.3-3

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