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: 2026-07-03 13:38:35 UTC; root
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: https://akarl46556.r-universe.dev
Date/Publication: 2024-04-06 02:30:22 UTC
RemoteUrl: https://github.com/cran/RealVAMS
RemoteRef: HEAD
RemoteSha: 2bc4b0db2619ef6f07b0b328e9070b82f7f0fd9c