Package: EMMLi 0.0.3
EMMLi: A Maximum Likelihood Approach to the Analysis of Modularity
Fit models of modularity to morphological landmarks. Perform model selection on results. Fit models with a single within-module correlation or with separate within-module correlations fitted to each module.
Authors:
EMMLi_0.0.3.tar.gz
EMMLi_0.0.3.zip(r-4.5)EMMLi_0.0.3.zip(r-4.4)EMMLi_0.0.3.zip(r-4.3)
EMMLi_0.0.3.tgz(r-4.4-any)EMMLi_0.0.3.tgz(r-4.3-any)
EMMLi_0.0.3.tar.gz(r-4.5-noble)EMMLi_0.0.3.tar.gz(r-4.4-noble)
EMMLi_0.0.3.tgz(r-4.4-emscripten)EMMLi_0.0.3.tgz(r-4.3-emscripten)
EMMLi.pdf |EMMLi.html✨
EMMLi/json (API)
| # Install 'EMMLi' in R: |
| install.packages('EMMLi', repos = c('https://timcdlucas.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/timcdlucas/emmli/issues
Datasets:
- macacaCorrel - Correlation matrix for 61 landmarks from Japanese macaque (_Macaca fuscata_) craniums.
- macacaModels - Models of (_Macaca fuscata_) cranial modularity.
modularitymorphometricspaeleobiology
Last updated 8 years agofrom:e85d77e36a. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 09 2024 |
| R-4.5-win | NOTE | Oct 09 2024 |
| R-4.5-linux | NOTE | Oct 09 2024 |
| R-4.4-win | NOTE | Oct 09 2024 |
| R-4.4-mac | NOTE | Oct 09 2024 |
| R-4.3-win | OK | Oct 09 2024 |
| R-4.3-mac | OK | Oct 09 2024 |
Exports:EMMLi
Dependencies:
