mvnmle: ML Estimation for Multivariate Normal Data with Missing Values

Finds the Maximum Likelihood (ML) Estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.

Version: 0.1-11.2
Imports: stats
Published: 2023-02-27
Author: Kevin Gross ORCID iD [aut], Douglas Bates [aut], Mao Kobayashi [cre]
Maintainer: Mao Kobayashi < at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
In views: MissingData
CRAN checks: mvnmle results


Reference manual: mvnmle.pdf


Package source: mvnmle_0.1-11.2.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): mvnmle_0.1-11.2.tgz, r-release (arm64): mvnmle_0.1-11.2.tgz, r-oldrel (arm64): mvnmle_0.1-11.2.tgz, r-prerel (x86_64): mvnmle_0.1-11.2.tgz, r-release (x86_64): mvnmle_0.1-11.2.tgz
Old sources: mvnmle archive


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