{ "_id": "6a5a799109eb0996dd690dbf", "Package": "BBNI", "Title": "Bayesian Inference of Boolean Genetic Networks", "Version": "0.2.0", "Authors@R": "c(\nperson(given = \"Anson\", family = \"Li\",\nemail = \"liyuanrui618@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(given = \"Shengtong\", family = \"Han\",\nemail = \"shengtong.han@marquette.edu\",\nrole = \"aut\")\n)", "Description": "Implements a fully Bayesian Markov chain Monte Carlo\n(MCMC) approach for inferring the topology and Boolean logic\ntransition functions of gene regulatory networks from noisy,\nbinary time-series expression data. Network structure and\nBoolean rules are sampled jointly from their posterior\ndistribution, providing principled uncertainty quantification\nrather than a single point estimate. Method described in Han et\nal. (2014) .", "License": "BSD_3_clause + file LICENSE", "URL": "https://anson-li8.github.io/BBNI/,\nhttps://github.com/anson-li8/BBNI", "BugReports": "https://github.com/anson-li8/BBNI/issues", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "8.0.0", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "LazyData": "true", "Config/pak/sysreqs": "libglpk-dev libxml2-dev", "Repository": "https://anson-li8.r-universe.dev", "Date/Publication": "2026-07-17 18:29:11 UTC", "RemoteUrl": "https://github.com/anson-li8/bbni", "RemoteRef": "HEAD", "RemoteSha": "319dcacd5cbc815730fe96e7c0f0a3e66ed39700", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-17 18:47:52 UTC", "User": "root" }, "Author": "Anson Li [aut, cre],\nShengtong Han [aut]", "Maintainer": "Anson Li ", "_user": "anson-li8", "_type": "src", "_file": "BBNI_0.2.0.tar.gz", "_fileid": "https://r2.ropensci.org/fca3cde8b0af9f04e3f8aecc2177c31be9a05cdca177b8e2470fef9d22b5001f", 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