Package: GPvam
Type: Package
Title: Maximum Likelihood Estimation of Multiple Membership Mixed
        Models Used in Value-Added Modeling
Version: 3.0-7
Date: 2021-01-05
Author: Andrew Karl, Yan Yang, and Sharon Lohr
Maintainer: Andrew Karl <akarl@asu.edu>
Description: 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.
Depends: R (>= 3.2.0), Matrix
Imports: numDeriv, Rcpp (>= 0.11.2), graphics, grDevices, methods,
        stats, utils
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: yes
NeedsCompilation: yes
LazyData: yes
License: GPL-2
Packaged: 2021-01-06 06:29:24 UTC; Andrew
Repository: CRAN
Date/Publication: 2021-01-07 02:40:03 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 06:07:51 UTC; windows
Archs: i386, x64
