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This paper introduces an R-package that yields contingency measure based networks (ConNEcT). The software allows investigating the bivariate relationships between a set of binary intensive longitudinal variables and depicting the result in a dynamic network. ConNEcT implements different contingency measures: proportion of agreement, corrected and classic Jaccard index, phi correlation coefficient, Cohen’s Kappa, odds ratio, and log odds ratio. Moreover, users can easily add alternative measures, if needed. Importantly, ConNEcT also allows conducting non-parametric significance tests on the obtained contingency values that correct for the inherent serial dependence in the time series, through a permutation approach or model-based simulation. In this paper, we provide an overview of all available ConNEcT features and showcase their usage.
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