Package: MixfMRI 0.1-4

MixfMRI: Mixture fMRI Clustering Analysis

Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2023) <doi:10.1002/hbm.26425>) 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.

Authors:Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [aut, ctb], Pierre Lafaye De Micheaux [aut, ctb], Jonathan L Marchini [aut, ctb]