GPvam 3.0-5

Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling

Released Apr 18, 2018 by Andrew Karl

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Matrix 1.2-14 RcppArmadillo 0.8.500.0 Rcpp numDeriv 2016.8-1

An EM algorithm, Karl et al. (2013) , is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) . These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.



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Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.