{ "_id": "6a49951a6d67900babdfd282", "Package": "HMMpa", "Type": "Package", "Title": "Analysing Accelerometer Data Using Hidden Markov Models", "Version": "1.0.2", "Date": "2025-01-27", "Description": "Analysing time-series accelerometer data to quantify\nlength and intensity of physical activity using hidden Markov\nmodels. It also contains the traditional cut-off point method.\nWitowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014).\n.", "Authors@R": "c(person(given = \"Vitali\",\nfamily = \"Witowski\",\nrole = \"aut\"),\nperson(given = \"Foraita\",\nfamily = \"Ronja\",\nrole = c(\"cre\", \"aut\"),\nemail = \"foraita@leibniz-bips.de\",\ncomment = c(ORCID = \"0000-0003-2216-6653\")))", "URL": "https://github.com/bips-hb/HMMpa", "BugReports": "https://github.com/bips-hb/HMMpa/issues", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Repository": "https://bips-hb.r-universe.dev", "Date/Publication": "2025-01-31 15:47:16 UTC", "RemoteUrl": "https://github.com/bips-hb/HMMpa", "RemoteRef": "HEAD", "RemoteSha": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-21 07:26:24 UTC", "User": "root" }, "Author": "Vitali Witowski [aut],\nForaita Ronja [cre, aut] (ORCID:\n)", "Maintainer": "Foraita Ronja ", "_user": "bips-hb", "_type": "src", "_file": "HMMpa_1.0.2.tar.gz", "_fileid": "https://r2.ropensci.org/984ddab736dbb45e46ea86caa0af0cbdf1cb501e6248cb6be6075d239ab56cd2", "_filesize": 354133, "_sha256": "984ddab736dbb45e46ea86caa0af0cbdf1cb501e6248cb6be6075d239ab56cd2", "_expires": "2026-10-12T23:19:53.000Z", "_created": "2026-06-21T07:26:24.000Z", "_published": "2026-07-04T23:19:54.806Z", "_jobs": [ { "job": 85175155348, "time": 96, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7772983573" }, { "job": 85175155383, "time": 96, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7772983460" }, { "job": 85175155335, "time": 66, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7772980141" }, { "job": 85175155480, "time": 81, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7772981663" }, { "job": 85175155156, "time": 137, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7772972408" }, { "job": 85175155385, "time": 87, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7772982446" }, { "job": 85175155419, "time": 65, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7772979990" }, { "job": 85175155495, "time": 79, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7772981648" }, { "job": 85175155410, "time": 75, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7772981077" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063", "_status": "success", "_upstream": "https://github.com/bips-hb/HMMpa", "_commit": { "id": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "author": "rforaita ", "committer": "rforaita ", "message": "fixed URL in HMM_based_method.R\n", "time": 1738338436 }, "_maintainer": { "name": "Foraita Ronja", "email": "foraita@leibniz-bips.de", "login": "rforaita", "description": "", "uuid": 15413913, "orcid": "0000-0003-2216-6653" }, "_distro": "noble", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10.0", "role": "Depends" }, { "package": "graphics", "role": "Imports" }, { "package": "stats", "role": "Imports" } ], "_owner": "bips-hb", "_selfowned": true, "_usedby": 1, "_updates": [], "_tags": [], "_topics": [ "accelerometer-data", "hidden-markov-model", "time-series" ], "_stars": 0, "_contributors": [ { "user": "rforaita", "count": 6, "uuid": 15413913 } ], "_userbio": { "uuid": 34575917, "type": "organization", "name": "BIPS", "followers": 41, "description": "Leibniz Institute for Prevention Research and Epidemiology" }, "_downloads": { "count": 321, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/HMMpa" }, "_devurl": "https://github.com/bips-hb/hmmpa", "_searchresults": 67, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/HMMpa.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/bips-hb/hmmpa", "_realowner": "bips-hb", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2014-02-25" }, { "version": "1.0.1", "date": "2018-11-15" }, { "version": "1.0.2", "date": "2025-01-31" } ], "_exports": [ "AIC_HMM", "Baum_Welch_algorithm", "BIC_HMM", "cut_off_point_method", "dgenpois", "direct_numerical_maximization", "forward_backward_algorithm", "HMM_based_method", "HMM_decoding", "HMM_simulation", "HMM_training", "initial_parameter_training", "local_decoding_algorithm", "pgenpois", "rgenpois", "Viterbi_algorithm" ], "_help": [ { "page": "HMMpa-package", "title": "Analysing Accelerometer Data Using Hidden Markov Models", "topics": [ "HMMpa-package", "HMMpa" ] }, { "page": "AIC_HMM", "title": "AIC Value for a Discrete Time Hidden Markov Model", "topics": [ "AIC_HMM" ] }, { "page": "Baum_Welch_algorithm", "title": "Estimation Using the Baum-Welch Algorithm", "topics": [ "Baum_Welch_algorithm" ] }, { "page": "BIC_HMM", "title": "BIC Value for a Discrete Time Hidden Markov Model", "topics": [ "BIC_HMM" ] }, { "page": "cut_off_point_method", "title": "Cut-Off Point Method for Assigning Physical Activity Patterns", "topics": [ "cut_off_point_method" ] }, { "page": "dgenpois", "title": "The Generalized Poisson Distribution", "topics": [ "dgenpois" ] }, { "page": "direct_numerical_maximization", "title": "Estimation by Directly Maximizing the log-Likelihood", "topics": [ "direct_numerical_maximization" ] }, { "page": "forward_backward_algorithm", "title": "Calculating Forward and Backward Probabilities and Likelihood", "topics": [ "forward_backward_algorithm" ] }, { "page": "HMM_based_method", "title": "Hidden Markov Method for Predicting Physical Activity Patterns", "topics": [ "HMM_based_method" ] }, { "page": "HMM_decoding", "title": "Algorithm for Decoding Hidden Markov Models (local or global)", "topics": [ "HMM_decoding" ] }, { "page": "HMM_simulation", "title": "Generating Realizations of a Hidden Markov Model", "topics": [ "HMM_simulation" ] }, { "page": "HMM_training", "title": "Training of Hidden Markov Models", "topics": [ "HMM_training" ] }, { "page": "initial_parameter_training", "title": "Algorithm to Find Plausible Starting Values for Parameter Estimation", "topics": [ "initial_parameter_training" ] }, { "page": "local_decoding_algorithm", "title": "Algorithm for Decoding Hidden Markov Models (local)", "topics": [ "local_decoding_algorithm" ] }, { "page": "pgenpois", "title": "The Generalized Poisson Distribution", "topics": [ "pgenpois" ] }, { "page": "rgenpois", "title": "The Generalized Poisson Distribution", "topics": [ "rgenpois" ] }, { "page": "Viterbi_algorithm", "title": "Algorithm for Decoding Hidden Markov Models (global)", "topics": [ "Viterbi_algorithm" ] } ], "_readme": "https://github.com/bips-hb/HMMpa/raw/HEAD/README.md", "_rundeps": [], "_score": 4.002166061756507, "_indexed": true, "_nocasepkg": "hmmpa", "_universes": [ "bips-hb", "rforaita" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.2", "date": "2026-06-21T07:28:07.000Z", "distro": "noble", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/99ee569bdb1b45df6c2bcc9912c5f4bc49ce0e496c48211b4bf06d34d0b06129", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" }, { "r": "4.6.0", "os": "linux", "version": "1.0.2", "date": "2026-06-21T07:28:06.000Z", "distro": "noble", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/4c610fc0ccd823b0c93e9044361fadfae72db5d6e0c753b8a8624c16b916abfc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" }, { "r": "4.5.3", "os": "mac", "version": "1.0.2", "date": "2026-06-21T07:27:40.000Z", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/85e08ff35e5f1083f2b2a1b63da18f393f3a7448311a369575d22bd1f0e80ecf", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" }, { "r": "4.6.0", "os": "mac", "version": "1.0.2", "date": "2026-06-21T07:27:51.000Z", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/91123d61dfe694a6dbca1421076e6da920a8d4007248e60493c70fc452e53f0b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.2", "date": "2026-06-21T07:28:08.000Z", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/183bd22697035fc2429cdff4dcccdea89c49545c784d1cf58978d4978ca76f09", "status": "success", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" }, { "r": "4.7.0", "os": "win", "version": "1.0.2", "date": "2026-06-21T07:27:29.000Z", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/2ba5dd1d23042168763295ccc0ffcf7658fef5e8d5c05c8c3dbff1541e6a1357", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" }, { "r": "4.5.3", "os": "win", "version": "1.0.2", "date": "2026-06-21T07:27:40.000Z", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/9e09f866dc1f5da5200bd350d0b66abcfaae6ffc338c9bda5abc63738e0438a9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" }, { "r": "4.6.0", "os": "win", "version": "1.0.2", "date": "2026-06-21T07:27:38.000Z", "commit": "7f2ddcc4d8a4cefc555af091adfee09df4ae1a28", "fileid": "https://r2.ropensci.org/6cbf63eba3802af4129b411d383f0bf25c805cda89efd7b91385ab8793a00244", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bips-hb/actions/runs/27897169063" } ] }