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
mvnmle_0.1-11.2.zip(r-4.7-x86_64)mvnmle_0.1-11.2.zip(r-4.6-x86_64)mvnmle_0.1-11.2.zip(r-4.5-x86_64)
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)
mvnmle_0.1-11.2.tar.gz(r-4.7-arm64)mvnmle_0.1-11.2.tar.gz(r-4.7-x86_64)mvnmle_0.1-11.2.tar.gz(r-4.6-arm64)mvnmle_0.1-11.2.tar.gz(r-4.6-x86_64)
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:

3.27 score 1 stars 37 scripts 490 downloads 5 exports 0 dependencies

Last updated from:5a02ce59ce. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK148
linux-devel-x86_64OK112
source / vignettesOK178
linux-release-arm64OK117
linux-release-x86_64OK112
macos-release-arm64OK112
macos-release-x86_64OK155
macos-oldrel-arm64OK85
macos-oldrel-x86_64OK158
windows-develOK61
windows-releaseOK61
windows-oldrelOK62
wasm-releaseOK98

Exports:getclfgetstartvalsmake.delmlestmysort

Dependencies: