Bayesian Inference of Boolean Genetic Networks R package BBNI version 0.1.1 Implements a fully Bayesian Markov chain Monte Carlo (MCMC) approach for inferring the topology and Boolean logic transition functions of gene regulatory networks from noisy, binary time-series expression data. Network structure and Boolean rules are sampled jointly from their posterior distribution, providing principled uncertainty quantification rather than a single point estimate. Method described in Han et al. (2014) <doi:10.1371/journal.pone.0115806>. Software Depends: R (>= 4.1.0) Imports: bitops, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Anson Li <liyuanrui618@gmail.com> Comprehensive R Archive Network (CRAN) Anson Li [aut, cre], Shengtong Han [aut] BSD_3_clause + file LICENSE (https://CRAN.R-project.org/package=BBNI/LICENSE) 2026-07-15 application/tgz https://CRAN.R-project.org/package=BBNI doi:10.32614/CRAN.package.BBNI en-US