{ "_id": "6a268854794753ddbc3f2954", "Package": "deepMOU", "Title": "Clustering of Short Texts by Mixture of Unigrams and Its Deep\nExtensions", "Version": "0.1.1", "Authors@R": "c(\nperson(\"Martin\", \"D'Ippolito\", email = \"martinmy69@gmail.com\", role = c(\"aut\",\"cre\")),\nperson(\"Anderlucci\", \"Laura\", email = \"laura.anderlucci@unibo.it\", role = \"aut\"),\nperson(\"Cinzia\", \"Viroli\", email = \"cinzia.viroli@unibo.it\", role = \"aut\"))", "Description": "Functions providing an easy and intuitive way for fitting\nand clusters data using the Mixture of Unigrams models by means\nthe Expectation-Maximization algorithm (Nigam, K. et al.\n(2000). ), Mixture of\nDirichlet-Multinomials estimated by Gradient Descent\n(Anderlucci, Viroli (2020) )\nand Deep Mixture of Multinomials whose estimates are obtained\nwith Gibbs sampling scheme (Viroli, Anderlucci (2020)\n). There are also functions for\ngraphical representation of clusters obtained.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 09:11:59 UTC", "User": "root" }, "Author": "Martin D'Ippolito [aut, cre], Anderlucci Laura [aut], Cinzia\nViroli [aut]", "Maintainer": "Martin D'Ippolito ", "Config/pak/sysreqs": "make", "Repository": "https://martindip.r-universe.dev", "Date/Publication": "2021-03-04 01:30:02 UTC", "RemoteUrl": "https://github.com/cran/deepMOU", "RemoteRef": "HEAD", "RemoteSha": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "MD5sum": "cf73f0678b696a7789c17ffae7edc765", "_user": "martindip", "_type": "src", "_file": "deepMOU_0.1.1.tar.gz", "_fileid": "daa733bb454c73ef1ce4be22ac2420887a72dec98e7bd53fc436aa53ae19a4b7", "_filesize": 187281, "_sha256": "daa733bb454c73ef1ce4be22ac2420887a72dec98e7bd53fc436aa53ae19a4b7", "_created": "2026-06-08T09:11:59.000Z", "_published": "2026-06-08T09:16:04.193Z", "_distro": "noble", "_jobs": [ { "job": 80059965915, "time": 139, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7476001252" }, { "job": 80059965971, "time": 136, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7475999936" }, { "job": 80059965954, "time": 200, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7476012074" }, { "job": 80059966000, "time": 200, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7476009411" }, { "job": 80059414771, "time": 174, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7475950310" }, { "job": 80059965986, "time": 111, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7475990629" }, { "job": 80059965930, "time": 93, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7475984841" }, { "job": 80059965913, "time": 104, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7475988355" }, { "job": 80059965967, "time": 96, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7475985365" } ], "_buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/deepMOU", "_commit": { "id": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "author": "Martin D'\"'\"'Ippolito ", "committer": "cran-robot ", "message": "version 0.1.1\n", "time": 1614821402 }, "_maintainer": { "name": "Martin DIppolito", "email": "martinmy69@gmail.com", "login": "martindip", "description": "BSc in Uni of Bologna and Uni of Glasgow in Stats and Maths\nMSc in Data Science Uni of Bologna. Currently working as a Data Scientist.", "uuid": 42009104 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "skmeans", "role": "Imports" }, { "package": "extraDistr", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "Rfast", "role": "Imports" }, { "package": "entropy", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "MASS", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "martindip", "count": 2, "uuid": 42009104 } ], "_userbio": { "uuid": 42009104, "type": "user", "name": "Martin D'Ippolito", "description": "BSc in Uni of Bologna and Uni of Glasgow in Stats and Maths\r\nMSc in Data Science Uni of Bologna. Currently working as a Data Scientist." }, "_downloads": { "count": 183, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/deepMOU" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/deepMOU.html", "manual.pdf" ], "_realowner": "martindip", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2021-01-22" }, { "version": "0.1.1", "date": "2021-03-04" } ], "_exports": [ "bubble_clust", "deep_mou_gibbs", "dir_mult_GD", "heatmap_words", "mou_EM", "words_freq_plot" ], "_datasets": [ { "name": "Abstracts", "title": "Abstracts dataset", "object": "Abstracts", "class": [ "matrix", "array" ], "fields": [ "abil", "accommod", "account", "accuraci", "achiev", "activ", "actual", "adapt", "addit", "addition", "address", "adequaci", "adjac", "adjust", "admit", "adopt", "advanc", "advantag", "affect", "aggreg", "aim", "algorithm", "allow", "altern", "analyt", "ann", "appeal", "appropri", "approxim", "arbitrari", "argu", "aris", "aspect", "assess", "assumpt", "asymptot", "attain", "attent", "attract", "automat", "autoregress", "avail", "averag", "avoid", "balanc", "basic", "bayesian", "behavior", "benefit", "bia", "bias", "binari", "bivari", "block", "bootstrap", "borrow", "bound", "boundari", "broad", "build", "calcul", "calibr", "call", "cancer", "captur", "carlo", "carri", "categori", "causal", "censor", "center", "central", "chain", "challeng", "chang", "characterist", "check", "choic", "choos", "class", "classic", "classifi", "clinic", "close", "cluster", "coeffici", "cohort", "collect", "combin", "common", "commonli", "comparison", "competit", "complet", "complex", "complic", "compon", "composit", "comput", "computation", "concentr", "concern", "conclus", "condit", "conduct", "confid", "confirm", "connect", "consequ", "consist", "constant", "constraint", "construct", "contain", "context", "continu", "contrast", "control", "convent", "converg", "convex", "correct", "correl", "correspond", "cost", "covari", "coverag", "cox", "criterion", "critic", "cross", "current", "curv", "date", "deal", "decis", "decreas", "defin", "definit", "degre", "demonstr", "densiti", "depend", "deriv", "descript", "design", "desir", "detail", "detect", "determin", "deviat", "differenc", "differenti", "difficulti", "dimension", "direct", "directli", "discontinu", "discoveri", "discret", "diseas", "distanc", "distinct", "domain", "draw", "drive", "due", "dynam", "easi", "effect", "effici", "em", "emerg", "empir", "emploi", "enabl", "enjoi", "ensur", "entir", "equal", "equat", "equival", "error", "establish", "evalu", "event", "evid", "exact", "examin", "exhibit", "exist", "expect", "explanatori", "explicit", "explicitli", "exploit", "explor", "exponenti", "express", "extens", "extrem", "facilit", "factor", "fail", "fals", "famili", "fast", "favor", "feasibl", "featur", "field", "final", "financ", "find", "finit", "fisher", "fit", "fix", "flexibl", "focu", "focus", "follow", "form", "formul", "forward", "fraction", "framework", "free", "frequenc", "frequent", "frequentist", "fundament", "futur", "gain", "gap", "gaussian", "gene", "gener", "genet", "genom", "global", "goal", "graph", "grow", "guarante", "handl", "hazard", "healthi", "heavi", "help", "heterogen", "heteroscedast", "hierarch", "highli", "histori", "hypotesi", "idea", "ident", "identifi", "ignor", "imag", "impact", "implement", "implicit", "importantli", "impos", "improv", "includ", "incorpor", "increas", "increasingli", "independ", "index", "indic", "individu", "induc", "inequ", "infer", "inferenti", "infinit", "influenc", "insight", "integr", "interact", "interpret", "interv", "introduc", "invers", "investig", "involv", "iter", "joint", "jointli", "justifi", "kei", "kernel", "knowledg", "lack", "larger", "lasso", "latent", "lead", "learn", "level", "li", "light", "likelihood", "limit", "linear", "link", "littl", "local", "locat", "log", "logist", "longitudin", "look", "loss", "low", "magnitud", "main", "major", "make", "margin", "markov", "mass", "materi", "mathemat", "matric", "matrix", "maxim", "maximum", "mean", "mechan", "methodologi", "mild", "minimax", "minimum", "miss", "misspecifi", "mix", "mixtur", "moder", "modern", "modifi", "moment", "monoton", "mont", "motiv", "multi", "multipl", "multivari", "naiv", "name", "natur", "near", "nearli", "network", "nice", "nois", "noisi", "nonlinear", "nonparametr", "nontrivi", "norm", "normal", "novel", "null", "numer", "object", "occur", "onlin", "oper", "optim", "oracl", "origin", "orthogon", "outcom", "outlier", "outperform", "overcom", "packag", "pair", "pairwis", "parallel", "partial", "particular", "particularli", "patient", "penal", "penalti", "perform", "permit", "permut", "perspect", "phase", "phenomenon", "physic", "plai", "poisson", "polynomi", "poor", "popul", "popular", "pose", "posit", "possess", "possibli", "post", "posterior", "potenti", "power", "practic", "precis", "predict", "predictor", "presenc", "preserv", "previou", "previous", "princip", "principl", "prior", "probabilist", "produc", "program", "project", "properti", "proport", "prove", "purpos", "qualiti", "quantifi", "quantil", "quantiti", "question", "random", "rang", "rank", "rate", "ratio", "real", "reason", "receiv", "recoveri", "reduc", "reduct", "refer", "regim", "region", "regress", "regular", "rel", "relat", "relationship", "relev", "reli", "reliabl", "remain", "replac", "report", "repres", "represent", "requir", "residu", "respect", "respons", "restrict", "return", "reveal", "risk", "robust", "role", "root", "rule", "satisfi", "scale", "scenario", "scheme", "score", "screen", "seen", "select", "semiparametr", "sens", "sensit", "separ", "sequenc", "sequenti", "seri", "serv", "shape", "short", "shrinkag", "signal", "signific", "significantli", "similar", "simpl", "simul", "simultan", "singl", "singular", "situat", "size", "smooth", "social", "softwar", "solut", "solv", "sourc", "space", "spars", "sparsiti", "spatial", "special", "specif", "specifi", "spectral", "speed", "squar", "stabl", "stage", "standard", "start", "stat", "stationari", "step", "stochast", "strategi", "strength", "strong", "strongli", "structur", "subject", "subset", "substanti", "suffici", "suggest", "suitabl", "sum", "summari", "superior", "support", "surpris", "survei", "surviv", "symmetri", "systemat", "tail", "take", "target", "task", "technic", "techniqu", "tempor", "tend", "term", "test", "theoret", "threshold", "time", "tool", "total", "tradit", "transform", "treat", "treatment", "trial", "true", "tune", "type", "typic", "unbias", "uncertainti", "underli", "understand", "undirect", "unifi", "uniform", "uniformli", "unit", "univari", "unknown", "unlik", "unobserv", "upper", "usual", "util", "valid", "valu", "vari", "varianc", "variant", "variat", "varieti", "variou", "vector", "version", "versu", "view", "weak", "weight", "wide", "covmatrix", "yield" ], "rows": 379, "table": true, "tojson": true }, { "name": "cl_CNAE", "title": "Classification labels of the CNAE2 data set", "object": "cl_CNAE", "class": [ "integer" ], "fields": [], "table": false, "tojson": true }, { "name": "CNAE2", "title": "CNAE dataset on classes 4 and 9", "object": "CNAE2", "class": [ "matrix", "array" ], "fields": [ "V8", "V16", "V20", "V21", "V23", "V26", "V28", "V34", "V38", "V40", "V41", "V43", "V44", "V47", "V48", "V49", "V50", "V51", "V55", "V57", "V60", "V61", "V63", "V64", "V65", "V67", "V68", "V69", "V70", "V72", "V73", "V74", "V75", "V76", "V77", "V78", "V79", "V80", "V84", "V86", "V91", "V95", "V96", "V97", "V98", "V99", "V100", "V106", "V110", "V111", "V112", "V115", "V116", "V117", "V119", "V123", "V130", "V131", "V132", "V133", "V134", "V139", "V140", "V141", "V143", "V146", "V147", "V149", "V151", "V154", "V157", "V158", "V167", "V168", "V172", "V175", "V179", "V181", "V185", "V188", "V193", "V194", "V195", "V196", "V199", "V203", "V205", "V208", "V213", "V214", "V222", "V224", "V225", "V226", "V233", "V234", "V238", "V241", "V242", "V248", "V253", "V254", "V255", "V256", "V262", "V263", "V265", "V266", "V268", "V269", "V270", "V276", "V277", "V280", "V283", "V284", "V287", "V289", "V293", "V295", "V297", "V299", "V300", "V301", "V303", "V306", "V307", "V315", "V317", "V319", "V320", "V321", "V322", "V323", "V324", "V326", "V327", "V329", "V337", "V340", "V341", "V342", "V349", "V351", "V353", "V354", "V360", "V361", "V362", "V366", "V375", "V376", "V378", "V384", "V386", "V389", "V391", "V393", "V398", "V399", "V403", "V407", "V410", "V411", "V412", "V419", "V420", "V424", "V425", "V429", "V430", "V432", "V434", "V435", "V436", "V441", "V442", "V444", "V445", "V449", "V452", "V456", "V457", "V461", "V467", "V469", "V470", "V471", "V472", "V473", "V474", "V477", "V478", "V479", "V480", "V481", "V482", "V491", "V492", "V497", "V498", "V503", "V507", "V511", "V514", "V519", "V520", "V523", "V528", "V530", "V534", "V536", "V538", "V539", "V540", "V541", "V542", "V547", "V548", "V554", "V555", "V556", "V557", "V559", "V562", "V565", "V566", "V568", "V569", "V570", "V573", "V574", "V575", "V576", "V578", "V579", "V580", "V581", "V584", "V586", "V587", "V588", "V589", "V592", "V594", "V600", "V601", "V602", "V603", "V605", "V606", "V608", "V609", "V611", "V616", "V619", "V620", "V628", "V629", "V630", "V631", "V633", "V636", "V637", "V638", "V641", "V642", "V648", "V649", "V650", "V651", "V664", "V665", "V666", "V667", "V669", "V670", "V672", "V674", "V676", "V678", "V679", "V680", "V681", "V682", "V683", "V684", "V688", "V689", "V690", "V693", "V694", "V697", "V698", "V699", "V702", "V703", "V704", "V706", "V711", "V712", "V713", "V714", "V717", "V721", "V724", "V725", "V732", "V735", "V737", "V739", "V744", "V752", "V753", "V757", "V758", "V759", "V760", "V761", "V765", "V775", "V779", "V784", "V788", "V791", "V795", "V797", "V799", "V800", "V802", "V803", "V806", "V808", "V809", "V810", "V812", "V813", "V815", "V816", "V818", "V819", "V820", "V822", "V823", "V824", "V825", "V826", "V829", "V832", "V833", "V834", "V841", "V849", "V851", "V854", "V856", "V857" ], "rows": 240, "table": true, "tojson": true } ], "_help": [ { "page": "Abstracts", "title": "Abstracts dataset", "topics": [ "Abstracts" ] }, { "page": "bubble_clust", "title": "Bubble plot", "topics": [ "bubble_clust" ] }, { "page": "cl_CNAE", "title": "Classification labels of the CNAE2 data set", "topics": [ "cl_CNAE" ] }, { "page": "CNAE2", "title": "CNAE dataset on classes 4 and 9", "topics": [ "CNAE2" ] }, { "page": "deep_mou_gibbs", "title": "Deep Mixture of Unigrams", "topics": [ "deep_mou_gibbs" ] }, { "page": "dir_mult_GD", "title": "Dirichlet-Multinomial mixture model by Gradient Descend algorithm", "topics": [ "dir_mult_GD" ] }, { "page": "heatmap_words", "title": "Heatmap of word frequencies by cluster", "topics": [ "heatmap_words" ] }, { "page": "mou_EM", "title": "Mixture of Unigrams by Expectation-Maximization algorithm", "topics": [ "mou_EM" ] }, { "page": "plot.deepMOU", "title": "Plotting method for \"shallow\" and deep mixtures of Unigrams and mixtures of Dirichlet-Multinomials", "topics": [ "plot.deepMOU" ] }, { "page": "words_freq_plot", "title": "Graph of most frequent words of each cluster", "topics": [ "words_freq_plot" ] } ], "_rundeps": [ "cli", "clue", "cluster", "cpp11", "dplyr", "entropy", "extraDistr", "farver", "generics", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "magrittr", "MASS", "pillar", "pkgconfig", "R6", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppParallel", "Rfast", "rlang", "S7", "scales", "skmeans", "slam", "tibble", "tidyselect", "utf8", "vctrs", "viridisLite", "withr", "zigg" ], "_score": 1, "_indexed": true, "_nocasepkg": "deepmou", "_universes": [ "martindip" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.1", "date": "2026-06-08T09:14:06.000Z", "distro": "noble", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "d6af5bf3c01903717b7a6bddeb8e9d989d83249055da912694672aedcbc030b9", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" }, { "r": "4.6.0", "os": "linux", "version": "0.1.1", "date": "2026-06-08T09:14:03.000Z", "distro": "noble", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "cc43f55281e5f79830babe97c12eff902bfdbd5365e5bbeb15f0a184ac95a879", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" }, { "r": "4.5.3", "os": "mac", "version": "0.1.1", "date": "2026-06-08T09:14:39.000Z", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "09e335a95685764603b9fef0e690484d584fc6dbf2ce0f68388e9ec40d1d6771", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" }, { "r": "4.6.0", "os": "mac", "version": "0.1.1", "date": "2026-06-08T09:14:18.000Z", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "b11b5532b5a17e95634202334e2b55a4ca2636002efde779de4c7ee9ee576866", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.1", "date": "2026-06-08T09:14:06.000Z", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "37dd3bc4ca3b4feb63d052fa1a026758e9565ad9c252688a3c25f23dc15ac228", "status": "success", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" }, { "r": "4.7.0", "os": "win", "version": "0.1.1", "date": "2026-06-08T09:13:24.000Z", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "58252244195a75678ca460802d022743a330e2888a71d04d1c0ad8113254bf72", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" }, { "r": "4.5.3", "os": "win", "version": "0.1.1", "date": "2026-06-08T09:13:13.000Z", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "1bf8494bdb295430d696014d566b90c4338ded120d5d69d685d7c591becf159b", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" }, { "r": "4.6.0", "os": "win", "version": "0.1.1", "date": "2026-06-08T09:13:14.000Z", "commit": "9b21dec3cddcea7b4f1ff6bb31d73f332e6e3601", "fileid": "16494e0404737ee25d232f8f979880008c4d0e779d12795f199295ec6d49d387", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/martindip/actions/runs/27127383008" } ] }