pastboon
Simulation of Parameterized Stochastic Boolean Networks
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling linux/jammy R-4.5 | pastboon_0.1.4.tar.gz |
92.7 KiB |
0.1.4 |
rolling linux/noble R-4.5 | pastboon_0.1.4.tar.gz |
93.1 KiB |
0.1.4 |
rolling source/ R- | pastboon_0.1.4.tar.gz |
37.5 KiB |
0.1.4 |
latest linux/jammy R-4.5 | pastboon_0.1.4.tar.gz |
92.7 KiB |
0.1.4 |
latest linux/noble R-4.5 | pastboon_0.1.4.tar.gz |
93.1 KiB |
0.1.4 |
latest source/ R- | pastboon_0.1.4.tar.gz |
37.5 KiB |
0.1.4 |
2026-04-26 source/ R- | pastboon_0.1.4.tar.gz |
37.5 KiB |
0.1.4 |
2026-04-23 source/ R- | pastboon_0.1.4.tar.gz |
37.5 KiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | pastboon_0.1.4.zip |
95.6 KiB |
0.1.4 |
2025-04-20 source/ R- | pastboon_0.1.4.tar.gz |
37.5 KiB |