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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
DOI: 10.32614/CRAN.package.mvnmle
Author: Kevin Gross ORCID iD [aut], Douglas Bates [aut], Mao Kobayashi [cre]
Maintainer: Mao Kobayashi <kobamao.jp at gmail.com>
BugReports: https://github.com/indenkun/mvnmle/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/indenkun/mvnmle
NeedsCompilation: yes
Materials: README NEWS
In views: MissingData
CRAN checks: mvnmle results

Documentation:

Reference manual: mvnmle.pdf

Downloads:

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

Reverse dependencies:

Reverse suggests: misty

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.