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.

Install the latest version of this package by entering the following in R:
install.packages("EMMLi")
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

View on CRAN

Files

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

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