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CRAN: Package GPvam

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

An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) <doi:10.3102/1076998609346967>. 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.

Version: 3.2-0 Depends: R (≥ 3.2.0), Matrix Imports: numDeriv, rlang, Rcpp (≥ 0.11.2), graphics, grDevices, methods, stats, utils, ggplot2, patchwork, MASS LinkingTo: Rcpp, RcppArmadillo Published: 2024-12-12 DOI: 10.32614/CRAN.package.GPvam Author: Andrew Karl [cre, aut], Yan Yang [aut], Sharon Lohr [aut] Maintainer: Andrew Karl <akarl at asu.edu> License: GPL-2 NeedsCompilation: yes Materials: NEWS CRAN checks: GPvam results Documentation: Downloads: Linking:

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