pastboon

A Boolean network is a particular kind of discrete dynamical system where the variables are simple binary switches. Despite its simplicity, Boolean network modeling has been a successful method to describe the behavioral pattern of various phenomena. Applying stochastic noise to Boolean networks is a useful approach for representing the effects of various perturbing stimuli on complex systems. A number of methods have been developed to control noise effects on Boolean networks using parameters integrated into the update rules. This package provides functions to examine three such methods: Boolean network with perturbations (BNp), described by Trairatphisan et al. (2013) doi:10.1186/1478-811X-11-46, stochastic discrete dynamical systems (SDDS), proposed by Murrugarra et al. (2012) doi:10.1186/1687-4153-2012-5, and Boolean network with probabilistic edge weights (PEW), presented by Deritei et al. (2022) doi:10.1371/journal.pcbi.1010536. This package includes source code derived from the 'BoolNet' package, which is licensed under the Artistic License 2.0.

Last 30 days

This package has been downloaded 178 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

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Last 365 days

This package has been downloaded 1,949 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 27, 2025 with 44 downloads.

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