The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.

Version: 0.0.3
Imports: stats, utils
Suggests: testthat
Published: 2017-02-17
DOI: 10.32614/CRAN.package.EMMLi
Author: Anjali Goswami, Tim Lucas, Prabu Sivasubramaniam, John Finarelli
Maintainer: Tim Lucas <timcdlucas at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/timcdlucas/EMMLi
NeedsCompilation: no
CRAN checks: EMMLi results

Documentation:

Reference manual: EMMLi.pdf

Downloads:

Package source: EMMLi_0.0.3.tar.gz
Windows binaries: r-devel: EMMLi_0.0.3.zip, r-release: EMMLi_0.0.3.zip, r-oldrel: EMMLi_0.0.3.zip
macOS binaries: r-release (arm64): EMMLi_0.0.3.tgz, r-oldrel (arm64): EMMLi_0.0.3.tgz, r-release (x86_64): EMMLi_0.0.3.tgz, r-oldrel (x86_64): EMMLi_0.0.3.tgz
Old sources: EMMLi archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EMMLi to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.