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.

AuthorAnjali Goswami, Tim Lucas, Prabu Sivasubramaniam, John Finarelli
Date of publication2017-02-17 14:37:57
MaintainerTim Lucas <timcdlucas@gmail.com>
LicenseMIT + file LICENSE
Version0.0.3
https://github.com/timcdlucas/EMMLi

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Files

EMMLi
EMMLi/inst
EMMLi/inst/extdata
EMMLi/inst/extdata/macaca_landmarklist.csv
EMMLi/inst/extdata/M1lmcorrel.csv
EMMLi/tests
EMMLi/tests/testthat
EMMLi/tests/testthat/testEMMLi.R
EMMLi/tests/test-all.R
EMMLi/NAMESPACE
EMMLi/data
EMMLi/data/macacaCorrel.RData
EMMLi/data/macacaModels.RData
EMMLi/R
EMMLi/R/data.R EMMLi/R/EMMLi.R
EMMLi/MD5
EMMLi/DESCRIPTION
EMMLi/man
EMMLi/man/macacaModels.Rd EMMLi/man/macacaCorrel.Rd EMMLi/man/EMMLi.Rd
EMMLi/LICENSE

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