Constructs co-occurrence networks from several types of input
    data, such as delimited fields, long/bipartite tables, binary
    matrices, or wide sequences. Returns tidy edge data frames and
    supports optional scaling, splitting into several networks,
    thresholding, and subsetting. Provides eight similarity measures,
    including Jaccard, cosine, and association strength. Supports export
    to several network and file formats. Network construction and
    analysis methods follow Saqr, Lopez-Pernas, Conde, and
    Hernandez-Garcia (2024, <doi:10.1007/978-3-031-54464-4_15>).

Computes a novel metric of affinity between two entities based on their co-occurrence 
  (using binary presence/absence data). The metric and its maximum likelihood estimator (alpha hat) were advanced in 
  Mainali, Slud, et al, 2021 <doi:10.1126/sciadv.abj9204>. Four types of confidence intervals and median interval
  were developed in Mainali and Slud, 2022 <doi:10.1101/2022.11.01.514801>. The `finches` dataset is 
  bundled with the package.

A cookie is a piece of data sent from a web server to a web client which helps
    in overcoming the statelessness constraint of the HTTP protocol. This package provides the tools
    to work with them in the form of a cookie parser middleware function, meant to be attached to
    a bigger R web application, and utilities to write, sign and unsign a cookie. For more details
    see the Mozilla Developer Network (MDN) web documentation in <https://developer.mozilla.org/en-US/docs/Web/HTTP/Guides/Cookies>.

Generate project files and directories following a pre-made template.
  You can specify variables to customize file names and content, and
  flexibly adapt the template to your needs. 'cookiecutter' for 'R'
  implements a subset of the excellent 'cookiecutter' package for the
  'Python' programming language (<https://github.com/cookiecutter/>), and
  aims to be largely compatible with the original 'cookiecutter' template
  format.

A convenient tool to store and format browser cookies and use them 
    in 'HTTP' requests (for example, through 'httr2', 'httr' or 'curl').