EMMLi: A Maximum Likelihood Approach to the Analysis of Modularity

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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.

Author
Anjali Goswami, Tim Lucas, Prabu Sivasubramaniam, John Finarelli
Date of publication
2016-07-13 16:39:17
Maintainer
Tim Lucas <timcdlucas@gmail.com>
License
MIT + file LICENSE
Version
0.0.2
URLs

View on CRAN

Man pages

EMMLi
Evaluating modularity with maximum likelihood
macacaCorrel
Correlation matrix for 61 landmarks from Japanese macaque...
macacaModels
Models of (_Macaca fuscata_) cranial modularity.

Files in this package

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