Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.

Tools to extract information from the Intergovernmental
    Organizations ('IGO') Database (v3), provided by the Correlates of War
    Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et
    al. (2020) <doi:10.1177/0022343319881175>.

Provides function to read data from the 'Igor Pro' data analysis
    program by 'Wavemetrics'. The data formats supported are 'Igor' packed 
    experiment format ('pxp') and 'Igor' binary wave ('ibw'). See: 
    <https://www.wavemetrics.com/> for details. Also includes functions to load 
    special 'pxp' files produced by the 'Igor Pro' 'Neuromatic' and 'Nclamp' 
    packages for recording and analysing neuronal data. See 
    <https://github.com/SilverLabUCL/NeuroMatic> for details.

Convert between Irish grid references and Irish Grid coordinates. Irish grid 
    references can also be converted to or from an 'sf' object in any coordinate reference 
    system. Precisions from 1 m to 100 km including 2 km (tetrads) are supported, as are 
    datasets with mixed precision. Conversion to 'sf' polygons is precision-aware.

Routines for simple graphs and network analysis. It can
    handle large graphs very well and provides functions for generating
    random and regular graphs, graph visualization, centrality methods and
    much more.

A small collection of various network data sets,
    to use with the 'igraph' package: the Enron email network, various food webs,
    interactions in the immunoglobulin protein, the karate club network,
    Koenigsberg's bridges, visuotactile brain areas of the macaque monkey,
    UK faculty friendship network, domestic US flights network, etc.

Using 'shiny' to demo 'igraph' package makes learning graph theory easy and fun.