Package: RealVAMS
Type: Package
Title: Multivariate VAM Fitting
Version: 0.4-6
Date: 2024-04-05
Authors@R: 
    c(person(given = c("Andrew"),
             family = "Karl",
			 email="akarl@asu.edu",
			   role = c("cre", "aut"),
             comment = c(ORCID = "0000-0002-5933-8706")),
      person(given = "Jennifer",
             family = "Broatch",
			   role = c( "aut"),
             ),
			  person(given = "Jennifer",
             family = "Green",
			   role = c( "aut"),
             ))
Description: Fits a multivariate value-added model (VAM), see Broatch, Green, and Karl (2018) <doi:10.32614/RJ-2018-033> and 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.  The inner loop of the pseudo-likelihood 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 DRL-1336027 and DRL-1336265.  
License: GPL-2
Depends: R (>= 3.0.0), Matrix
Imports: numDeriv, Rcpp (>= 0.11.2), methods, stats, utils, grDevices,
        graphics
LazyData: yes
ByteCompile: yes
NeedsCompilation: yes
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2024-04-05 08:12:50 UTC; andre
Author: Andrew Karl [cre, aut] (<https://orcid.org/0000-0002-5933-8706>),
  Jennifer Broatch [aut],
  Jennifer Green [aut]
Maintainer: Andrew Karl <akarl@asu.edu>
Repository: CRAN
Date/Publication: 2024-04-05 09:13:06 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 12:01:57 UTC; unix
Archs: RealVAMS.so.dSYM
