{ "_id": "6a10240bacfb0bcc41c8da6a", "Package": "bacontrees", "Title": "Bayesian Context Trees for Discrete Sequence Data", "Version": "1.0.0", "Authors@R": "c(\nperson(\"Victor\", \"Freguglia\", email = \"victorfreguglia@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6189-4453\")),\nperson(\"Thiago\", \"Paulichen\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0009-0002-5505-2409\")))", "Description": "Models discrete sequential data using Bayesian Context\nTrees. Context trees, also known as Variable Length Markov\nChains (VLMCs), are parsimonious Markov models where the order\nof dependence can vary with the observed past. Provides a\ngeneric 'R6' class structure that exposes the full tree for\nbuilding custom algorithms, exact Bayesian inference via a\nbottom-up recursive algorithm (closed-form marginal likelihood,\nMaximum A Posteriori (MAP) tree, exact posterior probabilities,\nand exact sampling from the posterior), a frequentist estimator\nvia the context algorithm with likelihood-ratio pruning,\nsimulation utilities, and a Metropolis-Hastings sampler. See\nPaulichen and Freguglia (2026) .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "LazyData": "true", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libfontconfig1-dev libfreetype6-dev libglpk-dev\nlibicu-dev libxml2-dev", "Repository": "https://freguglia.r-universe.dev", "Date/Publication": "2026-05-07 21:31:10 UTC", "RemoteUrl": "https://github.com/freguglia/bacontrees", "RemoteRef": "HEAD", "RemoteSha": "01e9bbbdc206491d9485ce134c1332d78f5362c9", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-13 10:59:53 UTC", "User": "root" }, "Author": "Victor Freguglia [aut, cre] (ORCID:\n),\nThiago Paulichen [ctb] (ORCID: )", "Maintainer": "Victor Freguglia ", "MD5sum": "2733471bce765b0e7b81edbedd8faa9b", "_user": "freguglia", "_type": "src", "_file": "bacontrees_1.0.0.tar.gz", "_fileid": "fed2fe4b47878a858537d47fe2f5a836e1f383b9aca3b0cb50aa45945e5abdb8", "_filesize": 193524, "_sha256": 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