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  [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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