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

Maximum likelihood estimators are obtained via an EM algorithm

Version: 3.0-1
Depends: R (≥ 3.0.0), Rcpp (≥ 0.10.6), RcppArmadillo (≥ 0.4.000.2), Matrix
Imports: numDeriv
LinkingTo: Rcpp, RcppArmadillo
Published: 2014-01-31
Author: Andrew Karl, Yan Yang, and Sharon Lohr
Maintainer: Andrew Karl <akarl at asu.edu>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
CRAN checks: GPvam results

Downloads:

Reference manual: GPvam.pdf
Package source: GPvam_3.0-1.tar.gz
OS X binary: GPvam_3.0-1.tgz
Windows binary: GPvam_3.0-1.zip
Old sources: GPvam archive