crypto

Dynamic evolution of causal relationships among cryptocurrencies: an analysis via Bayesian networks.

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.

Manuele Leonelli

bnRep

A Repository of Bayesian Networks from the Academic Literature

crypto function

A discrete Bayesian modelling to exam- ine the causal interrelationships among six major cryptocurrencies. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>Bitcoin</dt>
<dd>(Down, Up);</dd><dt>Binance_Coin</dt>
<dd>(Down, Up);</dd><dt>Ethereum</dt>
<dd>(Down, Up);</dd><dt>Tether</dt>
<dd>(Down, Up);</dd><dt>Litecoin</dt>
<dd>(Down, Up);</dd><dt>Ripple</dt>
<dd>(Down, Up);</dd>
</dl>

crypto: crypto Bayesian Network

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