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

Maximum likelihood estimators are obtained via an EM algorithm

Version: 3.0-2
Depends: R (≥ 3.0.0), Rcpp (≥ 0.10.6), RcppArmadillo (≥, Matrix
Imports: numDeriv
LinkingTo: Rcpp, RcppArmadillo
Published: 2014-06-23
Author: Andrew Karl, Yan Yang, and Sharon Lohr
Maintainer: Andrew Karl <akarl at>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
CRAN checks: GPvam results


Reference manual: GPvam.pdf
Package source: GPvam_3.0-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: GPvam_3.0-2.tgz, r-oldrel: GPvam_3.0-2.tgz
OS X Mavericks binaries: r-release: GPvam_3.0-2.tgz
Old sources: GPvam archive