Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2018, manuscript)) include 2D and 3D clustering analyses (for p-values with voxel locations) and segmentation analyses (for p-values alone) for fMRI data where p-values indicate significant level of activation responding to stimulate of interesting. The analyses are mainly identifying active voxel/signal associated with normal brain behaviors. Analysis pipelines (R scripts) utilizing this package (see examples in 'inst/workflow/') is also implemented with high performance techniques.
|Author||Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [ctb]|
|Maintainer||Wei-Chen Chen <[email protected]>|
|License||Mozilla Public License 2.0|
|Package repository||View on CRAN|
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