Provides carefully chosen color palettes as used a.o. at OpenAnalytics <http://www.openanalytics.eu>.

A general purpose client to work with any 'OAI-PMH'
    (Open Archives Initiative Protocol for 'Metadata' Harvesting) service.
    The 'OAI-PMH' protocol is described at
    <http://www.openarchives.org/OAI/openarchivesprotocol.html>.
    Functions are provided to work with the 'OAI-PMH' verbs: 'GetRecord',
    'Identify', 'ListIdentifiers', 'ListMetadataFormats', 'ListRecords', and
    'ListSets'.

Harvest metadata using the Open Archives Initiative Protocol for Metadata
  Harvesting (OAI-PMH) version 2.0 (for more information, see
  <https://www.openarchives.org/OAI/openarchivesprotocol.html>).

A comprehensive set of helpers that streamline data transmission
  and processing, making it effortless to interact with the 'OpenAI' API.

Offers a suite of functions for enhancing R plots.

Implements the efficient algorithm by Ortmann and Brandes (2017)
  <doi:10.1007/s41109-017-0027-2> to compute the orbit-aware frequency distribution of induced and non-induced quads, i.e. subgraphs of size four. Given an edge matrix, data frame, or a graph object (e.g., 'igraph'), the orbit-aware counts are computed respective each of the edges and nodes.

Generalise the starting point of the array index.

A comprehensive set of indexes and tests for social segregation analysis,
              as described in Tivadar (2019) - 'OasisR': An R Package to Bring Some Order
              to the World of Segregation Measurement <doi:10.18637/jss.v089.i07>.
              The package  is the most complete existing tool and it clarifies
              many ambiguities and errors regarding the definition of segregation
              indices. Additionally, 'OasisR' introduces several resampling methods
              that enable testing their statistical significance
              (randomization tests, bootstrapping, and jackknife methods).

An implementation of the Blinder-Oaxaca decomposition for linear regression models.