mvnmle: ML estimation for multivariate normal data with missing values

Finds the maximum likelihood estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.

Version: 0.1-8
Depends: R (≥ 1.2.0)
Date: March 2008
Author: Kevin Gross, with help from Douglas Bates
Maintainer: Kevin Gross <kevin_gross at ncsu.edu>
License: GPL version 2 or later
In views: Multivariate
CRAN checks: mvnmle results

Downloads:

Package source: mvnmle_0.1-8.tar.gz
MacOS X binary: mvnmle_0.1-8.tgz
Windows binary: mvnmle_0.1-8.zip
Reference manual: mvnmle.pdf
Old sources: mvnmle archive