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: 0.1-11.1
Depends: R (≥ 1.2.0)
Published: 2018-05-19
Author: Kevin Gross, with help from Douglas Bates
Maintainer: ORPHANED
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Multivariate, SocialSciences
CRAN checks: mvnmle results


Reference manual: mvnmle.pdf
Package source: mvnmle_0.1-11.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mvnmle_0.1-11.1.tgz, r-oldrel: mvnmle_0.1-11.1.tgz
Old sources: mvnmle archive

Reverse dependencies:

Reverse imports: backShift, BLOQ, phylocurve, Rphylopars
Reverse suggests: BaylorEdPsych


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