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:Anjali Goswami, Tim Lucas, Prabu Sivasubramaniam, John Finarelli

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-4.5-any)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.

On CRAN:

modularitymorphometricspaeleobiology

4.00 score 2 stars 9 scripts 473 downloads 13 mentions 1 exports 0 dependencies

Last updated 8 years agofrom:e85d77e36a. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-winNOTEFeb 06 2025
R-4.5-macNOTEFeb 06 2025
R-4.5-linuxNOTEFeb 06 2025
R-4.4-winNOTEFeb 06 2025
R-4.4-macNOTEFeb 06 2025
R-4.3-winOKFeb 06 2025
R-4.3-macOKFeb 06 2025

Exports:EMMLi

Dependencies: