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Both functions are\nmotivated by the multivariate data analysis on data with\nclustered structures from labelling-based quantitative\nproteomic studies. These models and functions can also be\napplied to univariate and multivariate analyses of clustered\ndata with balanced or unbalanced design and no missingness.", "License": "GPL", "URL": "https://github.com/randel/mvMISE", "BugReports": "https://github.com/randel/mvMISE/issues", "RoxygenNote": "6.0.1", "Config/pak/sysreqs": "cmake make", "Repository": "https://randel.r-universe.dev", "Date/Publication": "2018-07-07 01:31:45 UTC", "RemoteUrl": "https://github.com/randel/mvmise", "RemoteRef": "HEAD", "RemoteSha": "eaf70a15e68b5de3d4de78ea14d4003dd5c78135", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-19 08:58:19 UTC", "User": "root" }, "MD5sum": "56f59549fdeda1b4dd17dd4e012201bd", "_user": "randel", "_type": "src", "_file": "mvMISE_1.0.tar.gz", "_fileid": "0a6658e5d8fa7d21603f8bf279b4ad2a9f6b98f7e3553288ec2bd9613db94c8a", "_filesize": 409369, "_sha256": "0a6658e5d8fa7d21603f8bf279b4ad2a9f6b98f7e3553288ec2bd9613db94c8a", "_created": "2026-06-19T08:58:19.000Z", "_published": 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