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.

Versatile tools and data for graph matching analysis with various forms of prior information
    that supports working with 'igraph' objects, matrix objects, or lists of either.

This program facilitates exporting igraph graphs to the
        SoNIA file format

Interesting 'igraph' datasets from Melanie Walsh's sample social network datasets repository <https://github.com/melaniewalsh/sample-social-network-datasets>.

The 14th generation International Geomagnetic Reference Field (IGRF).
 A standard spherical harmonic representation of the Earth's main field.

To integrate multiple GSEA studies, we propose a hybrid strategy,
    iGSEA-AT, for choosing random effects (RE) versus fixed effect (FE) models,
    with an attempt to achieve the potential maximum statistical efficiency as 
    well as stability in performance in various practical situations. In addition
    to iGSEA-AT, this package also provides options to perform integrative GSEA
    with testing based on a FE model (iGSEA-FE) and testing based on a RE model
    (iGSEA-RE). The approaches account for different set sizes when testing a
    database of gene sets. The function is easy to use, and the three approaches
    can be applied to both binary and continuous phenotypes.