{ "_id": "6a1c0ecf1d7bb097a0a2ded7", "Package": "o2plsda", "Type": "Package", "Title": "Multiomics Data Integration", "Version": "0.0.28", "Authors@R": "c(person(\"Kai\",\"Guo\",email = \"guokai8@gmail.com\",\nrole = c(\"aut\", \"cre\")\n),\nperson(\"Junguk\",\"Hur\",role = \"aut\"),\nperson(\"Eva\",\"Feldman\",role = \"aut\")\n)", "Description": "Provides functions to do 'O2PLS-DA' analysis for multiple\nomics data integration. The algorithm came from \"O2-PLS, a\ntwo-block (X±Y) latent variable regression (LVR) method with an\nintegral OSC filter\" which published by Johan Trygg and Svante\nWold at 2003 . 'O2PLS' is a bidirectional\nmultivariate regression method that aims to separate the\ncovariance between two data sets (it was recently extended to\nmultiple data sets) (Löfstedt and Trygg, 2011\n; Löfstedt et al., 2012\n) from the systematic sources of\nvariance being specific for each data set separately.", "License": "GPL-3 + file LICENSE", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.3", "URL": "https://github.com/guokai8/o2plsda", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-31 10:24:34 UTC", "User": "root" }, "Author": "Kai Guo [aut, cre], Junguk Hur [aut], Eva Feldman [aut]", "Maintainer": "Kai Guo ", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-dev libssl-dev", "Repository": "https://guokai8.r-universe.dev", "Date/Publication": "2025-12-02 01:32:34 UTC", "RemoteUrl": "https://github.com/guokai8/o2plsda", "RemoteRef": "HEAD", "RemoteSha": "56d3024a3c6ecae31f7c6cab7b11c6bc1b1098d2", "MD5sum": 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"topics": [ "predict,sparse_plsda-method" ] }, { "page": "predict-SparseO2pls", "title": "Predict method for SparseO2pls objects", "topics": [ "predict,SparseO2pls-method" ] }, { "page": "predict.sparse_plsda", "title": "Enhanced predict method for sparse PLS-DA", "topics": [ "predict.sparse_plsda" ] }, { "page": "predict.SparseO2pls", "title": "Enhanced predict method for sparse O2PLS", "topics": [ "predict.SparseO2pls" ] }, { "page": "print.O2pls", "title": "Print the summary of O2PLS results.", "topics": [ "print.O2pls" ] }, { "page": "print.plsda", "title": "Print the summary of plsda results.", "topics": [ "print.plsda" ] }, { "page": "print.SparseO2pls", "title": "Print method for sparse O2PLS results", "topics": [ "print.SparseO2pls" ] }, { "page": "scad_threshold", "title": "Enhanced SCAD thresholding function", "topics": [ "scad_threshold" ] }, { "page": "scores", "title": "Extract the scores from an O2PLS fit", "topics": [ "scores" ] }, { "page": "scores.O2pls", "title": 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