{ "_id": "6a1f36adb401979e734289da", "Package": "MixtureMissing", "Type": "Package", "Title": "Robust and Flexible Model-Based Clustering for Data Sets with\nMissing Values at Random", "Version": "3.0.6", "Authors@R": "c(person(given = \"Hung\",\nfamily = \"Tong\",\nrole = c(\"aut\", \"cre\"),\nemail = \"hungtongmx@gmail.com\"),\nperson(given = \"Cristina\",\nfamily = \"Tortora\",\nrole = c(\"aut\", \"ths\", \"dgs\"),\nemail = \"cristina.tortora@sjsu.edu\"))", "Description": "Implementations of various robust and flexible model-based\nclustering methods for data sets with missing values at random\n(Tong and Tortora, 2025, ). Two main\nmodels are: Multivariate Contaminated Normal Mixture (MCNM,\nTong and Tortora, 2022, ) and\nMultivariate Generalized Hyperbolic Mixture (MGHM, Wei et al.,\n2019, ). Mixtures via some\nspecial or limiting cases of the multivariate generalized\nhyperbolic distribution are also included: Normal-Inverse\nGaussian, Symmetric Normal-Inverse Gaussian, Skew-Cauchy,\nCauchy, Skew-t, Student's t, Normal, Symmetric Generalized\nHyperbolic, Hyperbolic Univariate Marginals, Hyperbolic, and\nSymmetric Hyperbolic. Funding: This work was partially\nsupported by the National Science foundation NSF Grant NO.\n2209974.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-15 06:14:35 UTC", "User": "root" }, "Author": "Hung Tong [aut, cre], Cristina Tortora [aut, ths, dgs]", "Maintainer": "Hung Tong ", "Config/pak/sysreqs": "cmake libgmp3-dev make libicu-dev libmpfr-dev\nlibx11-dev zlib1g-dev", "Repository": "https://hungtong.r-universe.dev", "Date/Publication": "2026-01-14 23:40:09 UTC", "RemoteUrl": "https://github.com/cran/MixtureMissing", "RemoteRef": "HEAD", "RemoteSha": "1a503c4758776d861c3c8b9e67f39271a9d941ea", "MD5sum": "61c99c765853a51bf198e1d8d4e36795", "_user": "hungtong", "_type": "src", "_file": "MixtureMissing_3.0.6.tar.gz", "_fileid": "e738be27688e7f601403066e535459741c84b63c6eadea307321b4532e0b3fd7", "_filesize": 244974, "_sha256": 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