RealVAMS: Multivariate VAM Fitting

The RealVAMs package fits a multivariate value-added model (VAM) (see Broatch and Lohr 2012) with normally distributed test scores and a binary outcome indicator. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.

Version: 0.3-2
Depends: R (≥ 3.0.0), Matrix
Imports: numDeriv, Rcpp (≥ 0.11.2), methods, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-07-21
Author: Andrew Karl, Jennifer Broatch, and Jennifer Green
Maintainer: Andrew Karl <akarl at asu.edu>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
CRAN checks: RealVAMS results

Downloads:

Reference manual: RealVAMS.pdf
Package source: RealVAMS_0.3-2.tar.gz
Windows binaries: r-devel: RealVAMS_0.3-2.zip, r-release: RealVAMS_0.3-2.zip, r-oldrel: RealVAMS_0.3-2.zip
OS X Snow Leopard binaries: r-release: RealVAMS_0.3-2.tgz, r-oldrel: RealVAMS_0.3-1.tgz
OS X Mavericks binaries: r-release: RealVAMS_0.3-2.tgz
Old sources: RealVAMS archive