The Iterative Signature Algorithm

The ISA is a biclustering algorithm that finds modules in an input matrix. A module or bicluster is a block of the reordered input matrix.

Illustrate the Flow of Information or Material

Plots that illustrate the flow of information or material.

Implements the Leiden Algorithm via an R Interface

An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: < https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) .

'WebDriver' Client for 'PhantomJS'

A client for the 'WebDriver' 'API'. It allows driving a (probably headless) web browser, and can be used to test web applications, including 'Shiny' apps. In theory it works with any 'WebDriver' implementation, but it was only tested with 'PhantomJS'.

Lightweight Web Server for Testing

Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching and parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the < https://httpbin.org> web service.

Stineman, a Consistently Well Behaved Method of Interpolation

A consistently well behaved method of interpolation based on piecewise rational functions using Stineman's algorithm.

Notifications from 'Shiny'

Browser notifications in 'Shiny' apps, using 'toastr': < https://github.com/CodeSeven/toastr#readme>.

Statistical Analysis of Network Data with R, 2nd Edition

Data sets and code blocks for the book 'Statistical Analysis of Network Data with R, 2nd Edition'.

Reproducible Text Classification Workflows

Dependency-light tools and tutorials for teaching reproducible text classification. The package covers HTML text extraction, sentence segmentation, text preprocessing, document-term matrices, TF-IDF, keyword extraction, cosine similarity, stratified cross-validation, classification metrics, and a multinomial Naive Bayes classifier. It modernizes the code accompanying Kobayashi, V. B., Berkers, H. A., Mol, S. T. Kismihok, G., and Den Hartog, D. N. (2017) The package replaces the original scripts in the paper.

Detect the Language of Text

With no external dependencies and support for 335 languages; all languages spoken by more than one million speakers. 'Franc' is a port of the 'JavaScript' project of the same name, see < https://github.com/wooorm/franc>.