{ "_id": "6aaea00e3d719c1f8407d2bd", "Package": "hmclearn", "Type": "Package", "Title": "Fit Statistical Models Using Hamiltonian Monte Carlo", "Version": "0.0.5", "Authors@R": "c(person(given = \"Samuel\",\nfamily = \"Thomas\",\nrole = c(\"cre\", \"aut\"),\nemail = \"samthoma@iu.edu\"),\nperson(given = \"Wanzhu\",\nfamily = \"Tu\",\nrole = \"ctb\",\nemail = \"wtu1@iu.edu\"))", "Maintainer": "Samuel Thomas ", "Description": "Provide users with a framework to learn the intricacies of\nthe Hamiltonian Monte Carlo algorithm with hands-on experience\nby tuning and fitting their own models. All of the code is\nwritten in R. Theoretical references are listed below:. Neal,\nRadford (2011) \"Handbook of Markov Chain Monte Carlo\" ISBN:\n978-1420079418, Betancourt, Michael (2017) \"A Conceptual\nIntroduction to Hamiltonian Monte Carlo\" ,\nThomas, S., Tu, W. (2020) \"Learning Hamiltonian Monte Carlo in\nR\" , Gelman, A., Carlin, J. B., Stern, H. S.,\nDunson, D. B., Vehtari, A., & Rubin, D. B. (2013) \"Bayesian\nData Analysis\" ISBN: 978-1439840955, Agresti, Alan (2015)\n\"Foundations of Linear and Generalized Linear Models ISBN:\n978-1118730034, Pinheiro, J., Bates, D. (2006) \"Mixed-effects\nModels in S and S-Plus\" ISBN: 978-1441903174.", "License": "GPL-3", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "RoxygenNote": "7.1.1", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-19 14:41:04 UTC", "User": "root" }, "Author": "Samuel Thomas [cre, aut], Wanzhu Tu [ctb]", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://cranhaven.r-universe.dev", "Date/Publication": "2026-09-19 05:02:00 UTC", "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev", "RemoteRef": "package/hmclearn", "RemoteSha": "90830186b825b00f5c4d80e5d596cbc58ed20367", "RemoteSubdir": "hmclearn", "_user": "cranhaven", "_type": "src", "_file": "hmclearn_0.0.5.tar.gz", "_fileid": "https://r2.ropensci.org/c1fb41cf994e0dd729f93291c6960799df2e5ca9d8ba8d74db83c35cccd68f14", "_filesize": 2168101, "_sha256": "c1fb41cf994e0dd729f93291c6960799df2e5ca9d8ba8d74db83c35cccd68f14", "_expires": "2026-12-28T14:45:32.000Z", 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