Data

Tools

Indexes

Applications

Experiments

Open Source Science

EMMLi

A Maximum Likelihood Approach To The Analysis Of Modularity

https://github.com/timcdlucas/emmli

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: wiley.com
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.6%) to scientific vocabulary

Keywords

modularity morphometrics paeleobiology
Last synced: 6 months ago · JSON representation

Repository

A Maximum Likelihood Approach To The Analysis Of Modularity

Basic Info
  • Host: GitHub
  • Owner: timcdlucas
  • License: other
  • Language: R
  • Default Branch: master
  • Size: 81.1 KB
Statistics
  • Stars: 2
  • Watchers: 4
  • Forks: 1
  • Open Issues: 2
  • Releases: 0
Topics
modularity morphometrics paeleobiology
Created over 9 years ago · Last pushed about 9 years ago
Metadata Files
Readme License

README.md

EMMLi: A Maximum Likelihood Approach To The Analysis Of Modularity

Build Status codecov.io cran version

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

```r

install.packages('EMMLi') ```

or to install the development version from GitHub

r 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).

```r

An example correlation matrix

dim(macacaCorrel)

An example data frame that defines the models

head(macacaModels)

Run EMMLi

output <- EMMLi(macacaCorrel, 20, macacaModels) ```

Owner

  • Name: Tim Lucas
  • Login: timcdlucas
  • Kind: user
  • Location: UK
  • Company: timcdlucas.github.io

U. of Leicester lecturer studying air pollution, human movement and geostatistics. Previously malaria and NTDs.

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 51
  • Total Committers: 2
  • Avg Commits per committer: 25.5
  • Development Distribution Score (DDS): 0.02
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
timcdlucas t****s@g****m 50
Diogo Melo d****o@g****m 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 4
  • Total pull requests: 1
  • Average time to close issues: 3 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • timcdlucas (3)
  • diogro (1)
Pull Request Authors
  • diogro (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 544 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: EMMLi

A Maximum Likelihood Approach to the Analysis of Modularity

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 544 Last month
Rankings
Forks count: 17.8%
Stargazers count: 28.5%
Dependent packages count: 29.8%
Average: 30.6%
Dependent repos count: 35.5%
Downloads: 41.6%
Maintainers (1)
timcdlucas@gmail.com
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • stats * imports
  • utils * imports
  • testthat * suggests