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

Maximum likelihood estimators are obtained via an EM algorithm

Version: 2.0-0
Depends: Matrix, numDeriv
Imports: gplots
Published: 2012-07-06
Author: Andrew Karl, Yan Yang, and Sharon Lohr
Maintainer: Andrew Karl <akarl at asu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: GPvam results

Downloads:

Package source: GPvam_2.0-0.tar.gz
MacOS X binary: GPvam_2.0-0.tgz
Windows binary: GPvam_2.0-0.zip
Reference manual: GPvam.pdf
News/ChangeLog:NEWS
Old sources: GPvam archive