Implements the "Node + Edge Betweenness" community detection
    algorithm for network analysis using 'igraph' objects. This algorithm
    combines node degree and betweenness centrality measures to identify
    communities within networks, with a gradient evident in social
    partitioning. The package provides functions for implementation of the
    algorithm, visualization, and analysis of the resulting community
    structure along with the original dataset used in the publication.
    Methods are based on results from Smith, Pittman and Xu (2026)
    <doi:10.1002/cjs.70060>.

A dataset of the top colours of photos from Instagram 
 taken in 2014 in the city of Vancouver, British Columbia, Canada.
 It consists of: top colour and counts data. This data was
 obtained using the Instagram API. Instagram is a web photo 
 sharing service. It can be found at: <https://instagram.com>.
 The Instagram API is documented at: <https://instagram.com/developer/>.

Functions to calculate indices used to score immunoglobulin A (IgA) binding of bacteria in IgA sequencing (IgA-Seq) experiments.
  This includes the original Kau and Palm indices and more recent methods as described in Jackson et al. (2020) <doi:10.1101/2020.08.19.257501>.
  Additionally the package contains a function to simulate IgA-Seq data and an example experimental data set for method testing.

A collection of statistical tests for genetic association studies and summary data based Mendelian randomization.

Develops a General Equilibrium (GE) Model, which estimates key variables such as wages, the number of residents and workers, the prices of the floor space, and its distribution between commercial and residential use, as in Ahlfeldt et al., (2015) <doi:10.3982/ECTA10876>. By doing so, the model allows understanding the economic influence of different urban policies.

Compute distributional quantities for an
    Integrated Gamma (IG) or Integrated Gamma Limit (IGL) copula, such
    as a cdf and density. Compute corresponding conditional quantities
    such as the cdf and quantiles. Generate
    data from an IG or IGL copula. See the vignette for formulas,
    or for a derivation, see Coia, V (2017) "Forecasting of Nonlinear 
    Extreme Quantiles Using Copula Models." PhD Dissertation, 
    The University of British Columbia.