{ "_id": "6acb687bfe5cc25786e8f85a", "Package": "fmcmc", "Title": "A friendly MCMC framework", "Version": "0.6-0", "Date": "2025-12-03", "Authors@R": "c(person(\"George\", \"Vega Yon\", email = \"g.vegayon@gmail.com\", role =\nc(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-3171-0844\")),\nperson(\"Paul\", \"Marjoram\", email = \"pmarjora@usc.edu\", role = c(\"ctb\",\n\"ths\"), comment = c(ORCID = \"0000-0003-0824-7449\")), person(\"National\nCancer Institute (NCI)\", role = \"fnd\", comment = \"Grant Number\n5P01CA196569-02\"), person(\"Fabian\", \"Scheipl\", role = \"rev\", comment =\nc(what = \"JOSS reviewer\", ORCID=\"0000-0001-8172-3603\")) )", "Description": "Provides a friendly (flexible) Markov Chain Monte Carlo\n(MCMC) framework for implementing Metropolis-Hastings algorithm\nin a modular way allowing users to specify automatic\nconvergence checker, personalized transition kernels, and\nout-of-the-box multiple MCMC chains using parallel computing.\nMost of the methods implemented in this package can be found in\nBrooks et al. (2011, ISBN 9781420079425). Among the methods\nincluded, we have: Haario (2001)\n Adaptive Metropolis, Vihola\n(2012) Robust Adaptive\nMetropolis, and Thawornwattana et al. (2018)\n Mirror transition kernels.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "URL": "https://github.com/USCbiostats/fmcmc,\nhttps://uscbiostats.github.io/fmcmc/", "BugReports": "https://github.com/USCbiostats/fmcmc/issues", "RoxygenNote": "7.3.3", "Roxygen": "list(markdown = TRUE)", "VignetteBuilder": "knitr", "Repository": "https://uscbiostats.r-universe.dev", "Date/Publication": "2026-09-11 05:44:52 UTC", "RemoteUrl": "https://github.com/uscbiostats/fmcmc", "RemoteRef": "HEAD", "RemoteSha": "7519376a7990c4efc0487c330e3054cf81907798", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-11 10:24:04 UTC", "User": "root" }, "Author": "George Vega Yon [aut, cre] (ORCID:\n),\nPaul Marjoram [ctb, ths] (ORCID:\n),\nNational Cancer Institute (NCI) [fnd] (Grant Number 5P01CA196569-02),\nFabian Scheipl [rev] (what: JOSS reviewer, ORCID:\n)", "Maintainer": "George Vega Yon ", "_user": "uscbiostats", "_type": "src", "_file": "fmcmc_0.6-0.tar.gz", "_fileid": "https://r2.ropensci.org/2a720c93e35568692f69904c6d813944f6c5ec07eb794e378dbdb87ad2c99140", "_filesize": 2842970, "_sha256": "2a720c93e35568692f69904c6d813944f6c5ec07eb794e378dbdb87ad2c99140", "_expires": "2027-01-19T10:44:09.000Z", "_created": "2026-10-11T10:24:04.000Z", "_published": "2026-10-11T10:44:11.025Z", "_buildurl": "https://github.com/r-universe/uscbiostats/actions/runs/38131596887", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 114447587533, "time": 119, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11699681341" }, { "job": 114447587515, "time": 114, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11700025278" }, { "job": 114447587511, "time": 136, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11699219228" }, { "job": 114447587490, "time": 133, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11699762461" }, { "job": 114446953013, "time": 216, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11698134875" }, { "job": 114447587553, "time": 87, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11698334509" }, { "job": 114447587541, "time": 121, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11699920668" }, { "job": 114447587507, "time": 91, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11699820947" }, { "job": 114447587549, "time": 117, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11699321980" } ], "_upstream": "https://github.com/uscbiostats/fmcmc", "_commit": { "id": "7519376a7990c4efc0487c330e3054cf81907798", "author": "George G. Vega Yon ", "committer": "GitHub ", "message": "Add CITATION.cff (#39)", "time": 1789105492 }, "_maintainer": { "name": "George Vega Yon", "email": "g.vegayon@gmail.com", "login": "gvegayon", "bluesky": "@gvegayon.bsky.social", "linkedin": "in/georgevegayon", "description": "Scientist at @UofUEpiBio modeling complex systems using statistical computing. Lots of time at @CDCgov.", "uuid": 893619, "orcid": "0000-0002-3171-0844" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.3.0", "role": "Depends" }, { "package": "parallel", "role": "Imports" }, { "package": "coda", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "Matrix", "role": "Imports" }, { "package": "covr", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "mcmc", "role": "Suggests" }, { "package": "tinytest", "role": "Suggests" }, { "package": "mvtnorm", "role": "Suggests" } ], "_owner": "uscbiostats", "_selfowned": true, "_usedby": 1, "_updates": [ { "week": "2025-47", "n": 4 }, { "week": "2025-50", "n": 4 }, { "week": "2026-32", "n": 1 }, { "week": "2026-33", "n": 1 }, { "week": "2026-37", "n": 1 } ], "_tags": [], "_topics": [ 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