The ConNEcT approach investigates the pairwise association strength of binary time series by calculating contingency measures and depicts the results in a network. The package includes features to explore and visualize the data. To calculate the pairwise concurrent or temporal sequenced relationship between the variables, the package provides seven contingency measures (proportion of agreement, classical & corrected Jaccard, Cohen's kappa, phi correlation coefficient, odds ratio, and log odds ratio), however, others can easily be implemented. The package also includes non-parametric significance tests, that can be applied to test whether the contingency value quantifying the relationship between the variables is significantly higher than chance level. Most importantly this test accounts for auto-dependence and relative frequency.See Bodner et al.(2021) <doi: 10.1111/bmsp.12222>.Finally, a network can be drawn. Variables depicted the nodes of the network, with the node size adapted to the prevalence. The association strength between the variables defines the undirected (concurrent) or directed (temporal sequenced) links between the nodes. The results of the non-parametric significance test can be included by depicting either all links or only the significant ones. Tutorial see Bodner et al.(2021) <doi:10.3758/s13428-021-01760-w>.

Provides a helpful 'R6' class and methods for interacting with
    the 'Posit Connect' Server API along with some meaningful utility functions
    for regular tasks. API documentation varies by 'Posit Connect' installation
    and version, but the latest documentation is also hosted publicly at
    <https://docs.posit.co/connect/api/>.

A toolkit for making use of credentials mediated by 'Posit
  Connect'. It handles the details of communicating with the Connect API
  correctly, 'OAuth' token caching, and refresh behaviour.

Visualize the connectedness of factors in two-way tables.
  Perform two-way filtering to improve the degree of connectedness.
  See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.