Compare two classifications or clustering solutions that may or may
    not have the same number of classes, and that might have hard or soft
    (fuzzy, probabilistic) membership. Calculate various metrics to assess how
    the clusters compare to each other. The calculations are simple, but provide
    a handy tool for users unfamiliar with matrix multiplication. This package
    is not geared towards traditional accuracy assessment for classification/
    mapping applications - the motivating use case is for comparing a
    probabilistic clustering solution to a set of reference or existing class
    labels that could have any number of classes (that is, without having to
    degrade the probabilistic clustering to hard classes).

'Cristin' to 'Zotero' ('c2z') aims at obtaining total
    dominion over 'Cristin' ('Current Research Information SysTem in
    Norway') and 'Zotero'. The package enables manipulating 'Zotero'
    libraries using 'R'.  Import references from 'Cristin', 'Regjeringen',
    'CRAN', 'ISBN' ('Alma', 'LoC'), and 'DOI' ('CrossRef', 'DataCite') to
    a 'Zotero' library. Add, edit, copy, or delete items, including
    attachments and collections, and export references to 'BibLaTeX' (and
    other formats).

Create interactive charts with the 'C3.js' <http://c3js.org/> charting library. All plot 
    types in 'C3.js' are available and include line, bar, scatter, and mixed geometry plots. Plot 
    annotations, labels and axis are highly adjustable. Interactive web based charts can be embedded 
    in R Markdown documents or Shiny web applications.

A wrapper for the 'EZC3D' library to work with C3D motion capture data.

Allows inferring gene regulatory networks
        with direct physical interactions from microarray expression
        data using C3NET.

Get insight into a forest of classification trees, by calculating similarities between the trees, and subsequently clustering them. Each cluster is represented by it's most central cluster member. The package implements the methodology described in Sies & Van Mechelen (2020) <doi:10.1007/s00357-019-09350-4>.