{ "_id": "6a1edc45b401979e7340fc5c", "Package": "mvMISE", "Title": "A General Framework of Multivariate Mixed-Effects Selection\nModels", "Version": "1.0", "Date": "2018-06-04", "Author": "Jiebiao Wang and Lin S. Chen", "Maintainer": "Jiebiao Wang ", "Description": "Offers a general framework of multivariate mixed-effects\nmodels for the joint analysis of multiple correlated outcomes\nwith clustered data structures and potential missingness\nproposed by Wang et al. (2018)\n. The missingness of outcome\nvalues may depend on the values themselves (missing not at\nrandom and non-ignorable), or may depend on only the covariates\n(missing at random and ignorable), or both. This package\nprovides functions for two models: 1) mvMISE_b() allows\ncorrelated outcome-specific random intercepts with a\nfactor-analytic structure, and 2) mvMISE_e() allows the\ncorrelated outcome-specific error terms with a graphical lasso\npenalty on the error precision matrix. 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": "2026-05-20 08:34:12 UTC", "User": "root" }, "MD5sum": "c02a94e72dfc8c674455cd15280512b7", "_user": "randel", "_type": "src", "_file": "mvMISE_1.0.tar.gz", "_fileid": "f4753bf60e11e4acb4a6f72d56fd8f022a11e4fe7734497201bf87e659e2c4f2", "_filesize": 407054, "_sha256": "f4753bf60e11e4acb4a6f72d56fd8f022a11e4fe7734497201bf87e659e2c4f2", "_created": "2026-05-20T08:34:12.000Z", "_published": 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