https://anson-li8.r-universe.devRecent package updates in anson-li8R-universehttps://github.com/anson-li8.pnghttps://anson-li8.r-universe.devFri, 17 Jul 2026 18:29:11 GMTliyuanrui618@gmail.com (Anson Li)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>.https://github.com/r-universe/anson-li8/actions/runs/29604927989Fri, 17 Jul 2026 18:29:11 GMTBBNI0.2.0successhttps://anson-li8.r-universe.devhttps://github.com/anson-li8/bbniIntroduction_to_BBNI.RmdIntroduction_to_BBNI.htmlBayesian Boolean Network Inference with BBNI2026-06-19 23:00:322026-06-28 01:38:31