Provides a self-contained set of methods to aid clinical trial
    safety investigators, statisticians and researchers, in the early
    detection of adverse events using groupings by body-system or system
    organ class. This work was supported by the Engineering and Physical
    Sciences Research Council (UK) (EPSRC) [award reference 1521741] and
    Frontier Science (Scotland) Ltd. The package title c212 is in reference
    to the original Engineering and Physical Sciences Research Council (UK)
    funded project which was named CASE 2/12.

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.