{ "_id": "6a1fdc6fb401979e73438016", "Package": "MixfMRI", "Version": "0.1-4", "Date": "2024-10-16", "Title": "Mixture fMRI Clustering Analysis", "Authors@R": "c(person(\"Wei-Chen\", \"Chen\", role = c(\"aut\", \"cre\"), email =\n\"wccsnow@gmail.com\"),\nperson(\"Ranjan\", \"Maitra\", role = \"aut\", email = \"maitra@iastate.edu\"),\nperson(\"Dan\", \"Nettleton\", role = c(\"aut\", \"ctb\")),\nperson(\"Pierre\", \"Lafaye De Micheaux\", role = c(\"aut\", \"ctb\"),\ncomment = \"Threshold functions from AnalyzeFMRI\"),\nperson(\"Jonathan L\", \"Marchini\", role = c(\"aut\", \"ctb\"),\ncomment = \"Threshold functions from AnalyzeFMRI\"))", "LazyLoad": "yes", "LazyData": "yes", "Description": "Utilizing model-based clustering (unsupervised) for\nfunctional magnetic resonance imaging (fMRI) data. The\ndeveloped methods (Chen and Maitra (2023)\n) include 2D and 3D clustering analyses\n(for p-values with voxel locations) and segmentation analyses\n(for p-values alone) for fMRI data where p-values indicate\nsignificant level of activation responding to stimulate of\ninteresting. The analyses are mainly identifying active\nvoxel/signal associated with normal brain behaviors. Analysis\npipelines (R scripts) utilizing this package (see examples in\n'inst/workflow/') is also implemented with high performance\ntechniques.", "License": "Mozilla Public License 2.0", "BugReports": "https://github.com/snoweye/MixfMRI/issues", "URL": "https://github.com/snoweye/MixfMRI", "NeedsCompilation": "yes", "Maintainer": "Wei-Chen Chen ", "Config/pak/sysreqs": "libfftw3-dev", "Repository": "https://snoweye.r-universe.dev", "Date/Publication": "2024-10-17 01:36:41 UTC", "RemoteUrl": "https://github.com/snoweye/mixfmri", "RemoteRef": "HEAD", "RemoteSha": "192785df3b236dc953041cd32f6a598c2febbf68", "Packaged": { "Date": "2026-06-03 07:43:29 UTC", "User": "root" }, "Author": "Wei-Chen Chen [aut, cre],\nRanjan Maitra [aut],\nDan Nettleton [aut, ctb],\nPierre Lafaye De Micheaux [aut, ctb] (Threshold functions from\nAnalyzeFMRI),\nJonathan L Marchini [aut, ctb] (Threshold functions from AnalyzeFMRI)", "MD5sum": "47c2cf5e5fb0ab73fad5c59c15ec1e75", "_user": "snoweye", "_type": "src", 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