Package: mvnmle 0.1-11.2

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.

Authors:Kevin Gross [aut], Douglas Bates [aut], Mao Kobayashi [cre]

mvnmle_0.1-11.2.tar.gz
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mvnmle_0.1-11.2.tgz(r-4.6-x86_64)mvnmle_0.1-11.2.tgz(r-4.6-arm64)mvnmle_0.1-11.2.tgz(r-4.5-x86_64)mvnmle_0.1-11.2.tgz(r-4.5-arm64)
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mvnmle_0.1-11.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mvnmle/json (API)

# Install 'mvnmle' in R:
install.packages('mvnmle', repos = c('https://indenkun.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/indenkun/mvnmle/issues

Datasets:
  • apple - Worm Infestations in Apple Crops
  • missvals - A multivariate data set with missing values.

On CRAN:

Conda:

3.26 score 1 stars 36 scripts 840 downloads 5 exports 0 dependencies

Last updated from:5a02ce59ce. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK108
source / vignettesOK151
linux-release-arm64OK85
linux-release-x86_64OK153
macos-release-arm64OK76
macos-release-x86_64OK171
macos-oldrel-arm64OK69
macos-oldrel-x86_64OK155
windows-devel-arm64OK322
windows-devel-x86_64OK95
windows-release-arm64OK306
windows-release-x86_64OK55
windows-oldrel-x86_64OK63
wasm-releaseOK91

Exports:getclfgetstartvalsmake.delmlestmysort

Dependencies: