Package: mimdo 0.1.0
mimdo: Multivariate Imputation by 'Mahalanobis' Distance Optimization
Imputes missing values of an incomplete data matrix by minimizing the 'Mahalanobis' distance of each sample from the overall mean.
Authors:
mimdo_0.1.0.tar.gz
mimdo_0.1.0.zip(r-4.5)mimdo_0.1.0.zip(r-4.4)mimdo_0.1.0.zip(r-4.3)
mimdo_0.1.0.tgz(r-4.4-any)mimdo_0.1.0.tgz(r-4.3-any)
mimdo_0.1.0.tar.gz(r-4.5-noble)mimdo_0.1.0.tar.gz(r-4.4-noble)
mimdo_0.1.0.tgz(r-4.4-emscripten)mimdo_0.1.0.tgz(r-4.3-emscripten)
mimdo.pdf |mimdo.html✨
mimdo/json (API)
| # Install 'mimdo' in R: |
| install.packages('mimdo', repos = c('https://gjlabita.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gjlabita/mimdo/issues
Last updated 4 months agofrom:c1c331cfc6. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Exports:mimdo
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multivariate Imputation by Mahalanobis Distance Optimization | mimdo |
