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-4.7)EMMLi_0.0.3.zip(r-4.6)EMMLi_0.0.3.zip(r-4.5)
EMMLi_0.0.3.tgz(r-4.6-any)EMMLi_0.0.3.tgz(r-4.5-any)
EMMLi_0.0.3.tar.gz(r-4.7-any)EMMLi_0.0.3.tar.gz(r-4.6-any)
EMMLi_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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:

Conda:

modularitymorphometricspaeleobiology

4.18 score 3 stars 10 scripts 610 downloads 13 mentions 1 exports 0 dependencies

Last updated from:e85d77e36a. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE102
source / vignettesOK147
linux-release-x86_64NOTE108
macos-release-arm64NOTE69
macos-oldrel-arm64NOTE94
windows-develNOTE86
windows-releaseNOTE61
windows-oldrelNOTE62
wasm-releaseOK94

Exports:EMMLi

Dependencies: