EMMLi: A Maximum Likelihood Approach To The Analysis Of Modularity

An R package for performing analyses of modularity on morphological landmark data.

The only function is EMMLi which takes a correlation matrix and a data frame that describes a number of modular models.

A. Goswami and J. Finarelli (2016) EMMLi: A maximum likelihood approach to the analysis of modularity. Evolution http://onlinelibrary.wiley.com/doi/10.1111/evo.12956/abstract

Installation

To install the CRAN version

install.packages('EMMLi')

or to install the development version from GitHub

library(devtools)
install_github('timcdlucas/EMMLi')

Basic usage

The package contains one function, EMMLi. This function takes a correlation matrix, a data frame defining a set of models (which landmarks are part of which module) and the sample size (number of specimens).

# An example correlation matrix
dim(macacaCorrel)

# An example data frame that defines the models
head(macacaModels)

# Run EMMLi
output <- EMMLi(macacaCorrel, 20, macacaModels)