migraph

About the package

This package presents functions for analysing multimodal and multilevel networks. The package is intended as a software companion to the forthcoming book:

David Knoke, Mario Diani, James Hollway, and Dimitris Christopoulos (2021) Multimodal Political Networks.

Cambridge University Press: Cambridge.

The package is offered as a complement to existing R packages for network analysis. It can analyse data in base formats such as matrices and (data frame) edgelists, but can also work with {igraph} and {network} objects, and is consistent with a {tidygraph} workflow.

Please explore the website to find out more.

Installation

From binary

Perhaps the easiest way to install {migraph} is by installing a compiled binary. Binaries for all major OSes -- Windows, Mac, and Linux -- can be found by clicking on the latest release here. Download the appropriate binary for your operating system, and install using an adapted version of the following commands:

• For Windows: install.packages("~/Downloads/migraph_winOS.zip", repos = NULL)
• For Mac: install.packages("~/Downloads/migraph_macOS.tgz", repos = NULL)
• For Unix: install.packages("~/Downloads/migraph_linuxOS.tar.gz", repos = NULL)

From source

To install from source the latest main version of {migraph} from Github, please install the {remotes} package from CRAN and then enter into the console:

• For latest stable version: remotes::install_github("jhollway/migraph")
• For latest development version: remotes::install_github("jhollway/migraph@develop")

Relationship to other packages

It draws together, updates, and builds upon many functions currently available in other excellent R packages such as {bipartite}, {multinet}, {netmem}, and {tnet}, and implements many additional features currently only available outside the R ecosystem in packages such as UCINET.