{ "_id": "6a0f6cf5acfb0bcc41c5ea9f", "Package": "SAutomata", "Type": "Package", "Title": "Inference and Learning in Stochastic Automata", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Muhammad Kashif\", \"Hanif\", role = c(\"cre\",\"aut\"),\nemail = \"mkashifhanif@gcuf.edu.pk\"),\nperson(\"Muhammad Umer\", \"Sarwar\", role = \"aut\", email = \"Mumersarwar@gcuf.edu.pk\"),\nperson(\"Rehman\", \"Ahmad\", role = \"aut\", email = \"rehman.ahmad777@gmail.com\"),\nperson(\"Zeeshan\", \"Ahmad\", role = \"aut\", email = \"zeeshan.cs822@gmail.com \"),\nperson(\"Karl-Heinz\", \"Zimmermann\", role = \"aut\", email = \"k.zimmermann@tuhh.de\")\n)", "Maintainer": "Muhammad Kashif Hanif ", "Description": "Machine learning provides algorithms that can learn from\ndata and make inferences or predictions. Stochastic automata is\na class of input/output devices which can model components.\nThis work provides implementation an inference algorithm for\nstochastic automata which is similar to the Viterbi algorithm.\nMoreover, we specify a learning algorithm using the\nexpectation-maximization technique and provide a more efficient\nimplementation of the Baum-Welch algorithm for stochastic\nautomata. This work is based on Inference and learning in\nstochastic automata was by Karl-Heinz Zimmermann(2017)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "6.0.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 08:10:20 UTC", "User": "root" }, "Author": "Muhammad Kashif Hanif [cre, aut], Muhammad Umer Sarwar [aut],\nRehman Ahmad [aut], Zeeshan Ahmad [aut], Karl-Heinz Zimmermann\n[aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2018-11-02 17:00:03 UTC", "RemoteUrl": "https://github.com/cran/SAutomata", "RemoteRef": "HEAD", "RemoteSha": "a3a3572abe1b35c97b2249493cc9700bd60e45d8", "MD5sum": "f72d51572a9b3273a59db08582a43271", "_user": "cran", "_type": "src", "_file": "SAutomata_0.1.0.tar.gz", "_fileid": "9ed3b8fcf5fcf0acb85c7e5cd1870a8d60abd049a30f7d14ecb6b4c07b39b209", "_filesize": 100466, "_sha256": "9ed3b8fcf5fcf0acb85c7e5cd1870a8d60abd049a30f7d14ecb6b4c07b39b209", "_created": "2026-05-21T08:10:20.000Z", "_published": "2026-05-21T20:37:09.752Z", "_distro": "noble", "_jobs": [ { "job": 77263863210, "time": 101, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7130552436" }, { "job": 77263863416, "time": 138, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7130564489" }, { "job": 77263862798, "time": 154, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7130517240" }, { "job": 77263862747, "time": 74, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7146612469" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26213731347", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/SAutomata", "_commit": { "id": "a3a3572abe1b35c97b2249493cc9700bd60e45d8", "author": "Muhammad Kashif Hanif ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1541178003 }, "_maintainer": { "name": "Muhammad Kashif Hanif", "email": "mkashifhanif@gcuf.edu.pk" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.0.0", "role": "Depends" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 155, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SAutomata" }, "_searchresults": 6, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/SAutomata.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2018-11-02" } ], "_exports": [ "BaumWelch", "initSA", "Sbackward", "scores", "Sforward", "TOC.sampleData" ], "_help": [ { "page": "BaumWelch", "title": "Inferring the Forward and Backward Probabilities of a Stochastic Automata Model via the Baum-Welch algorithm", "topics": [ "BaumWelch" ] }, { "page": "initSA", "title": "Initialisation of SA's", "topics": [ "initSA" ] }, { "page": "Sbackward", "title": "Computes The Backward Probabilities", "topics": [ "Sbackward" ] }, { "page": "scores", "title": "Calculation of Probabilities (Not For End User)", "topics": [ "scores" ] }, { "page": "Sforward", "title": "Computes The Forward Probabilities", "topics": [ "Sforward" ] }, { "page": "TOC.sampleData", "title": "Learning (Not For End User)", "topics": [ "TOC.sampleData" ] } ], "_rundeps": [], "_score": 1, "_indexed": true, "_nocasepkg": "sautomata", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-05-21T08:12:11.000Z", "distro": "noble", "commit": "a3a3572abe1b35c97b2249493cc9700bd60e45d8", "fileid": "a01cfdeb67514ad6ec806ed1cebc3ec64fcfe2076e70a6becd59bcc01859e8e4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213731347" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-05-21T08:12:45.000Z", "distro": "noble", "commit": "a3a3572abe1b35c97b2249493cc9700bd60e45d8", "fileid": "4ed35449606f9b72cfd8c05b76be77d4e54c48f5411584cc90bc8e0ace73cc5e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213731347" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-05-21T20:36:51.000Z", "commit": "a3a3572abe1b35c97b2249493cc9700bd60e45d8", "fileid": "c82fab5f044df7e557fc8d5bf15dae66ab12b7270a9fb233726f961a835ffb83", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213731347" } ] }