{ "_id": "6a17db3facfb0bcc41d9baee", "Package": "fabisearch", "Title": "Change Point Detection in High-Dimensional Time Series Networks", "Version": "0.0.4.5", "Authors@R": "c(person(\"Martin\", \"Ondrus\", email = \"mondrus@ualberta.ca\", role = c(\"aut\", \"cre\")), person(\"Ivor\", \"Cribben\", email = \"cribben@ualberta.ca\", role = \"aut\"))", "Description": "Implementation of the Factorized Binary Search\n(FaBiSearch) methodology for the estimation of the number and\nthe location of multiple change points in the network (or\nclustering) structure of multivariate high-dimensional time\nseries. The method is motivated by the detection of change\npoints in functional connectivity networks for functional\nmagnetic resonance imaging (fMRI) data. FaBiSearch uses\nnon-negative matrix factorization (NMF), an unsupervised\ndimension reduction technique, and a new binary search\nalgorithm to identify multiple change points. It requires\nminimal assumptions. Lastly, we provide interactive,\n3-dimensional, brain-specific network visualization capability\nin a flexible, stand-alone function. This function can be\nconveniently used with any node coordinate atlas, and nodes can\nbe color coded according to community membership, if\napplicable. The output is an elegantly displayed network laid\nover a cortical surface, which can be rotated in the\n3-dimensional space. The main routines of the package are\ndetect.cps(), for multiple change point detection, est.net(),\nfor estimating a network between stationary multivariate time\nseries, net.3dplot(), for plotting the estimated functional\nconnectivity networks, and opt.rank(), for finding the optimal\nrank in NMF for a given data set. The functions have been\nextensively tested on simulated multivariate high-dimensional\ntime series data and fMRI data. For details on the FaBiSearch\nmethodology, please see Ondrus et al. (2021)\n. For a more detailed explanation and applied\nexamples of the fabisearch package, please see Ondrus and\nCribben (2022), preprint.", "URL": "https://github.com/mondrus96/FaBiSearch", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.2", "Config/testthat/edition": "3", "Packaged": { "Date": "2026-05-28 06:00:54 UTC", "User": "root" }, "Author": "Martin Ondrus [aut, cre], Ivor Cribben [aut]", "Maintainer": "Martin Ondrus ", "Config/pak/sysreqs": "cmake libfreetype6-dev libglu1-mesa-dev make\ntexlive libicu-dev libpng-dev libuv1-dev libgl1-mesa-dev\nzlib1g-dev", "Repository": "https://mondrus96.r-universe.dev", "Date/Publication": "2024-08-20 05:58:05 UTC", "RemoteUrl": "https://github.com/mondrus96/fabisearch", "RemoteRef": "HEAD", "RemoteSha": "75dd38c483b33d033856b2e6d33bf487281ccff7", "NeedsCompilation": "no", "MD5sum": "5bfa9932af189afa8157315558c820b9", "_user": "mondrus96", "_type": "src", "_file": "fabisearch_0.0.4.5.tar.gz", "_fileid": 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