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:
mvnmle_0.1-11.2.tar.gz
mvnmle_0.1-11.2.zip(r-4.5)mvnmle_0.1-11.2.zip(r-4.4)mvnmle_0.1-11.2.zip(r-4.3)
mvnmle_0.1-11.2.tgz(r-4.4-x86_64)mvnmle_0.1-11.2.tgz(r-4.4-arm64)mvnmle_0.1-11.2.tgz(r-4.3-x86_64)mvnmle_0.1-11.2.tgz(r-4.3-arm64)
mvnmle_0.1-11.2.tar.gz(r-4.5-noble)mvnmle_0.1-11.2.tar.gz(r-4.4-noble)
mvnmle_0.1-11.2.tgz(r-4.4-emscripten)mvnmle_0.1-11.2.tgz(r-4.3-emscripten)
mvnmle.pdf |mvnmle.html✨
mvnmle/json (API)
NEWS
| # 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:
Last updated 2 years agofrom:5a02ce59ce. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win-x86_64 | OK | Nov 08 2024 |
| R-4.5-linux-x86_64 | OK | Nov 08 2024 |
| R-4.4-win-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-aarch64 | OK | Nov 08 2024 |
| R-4.3-win-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-aarch64 | OK | Nov 08 2024 |
Exports:getclfgetstartvalsmake.delmlestmysort
Dependencies:
