Mixture fMRI Clustering Analysis R package MixfMRI version 0.1-4 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. Software Depends: R (>= 4.0.0) Imports: MASS, Matrix, RColorBrewer, fftw, MixSim, EMCluster Enhances: pbdMPI (>= 0.3-4), oro.nifti Wei-Chen Chen <wccsnow@gmail.com> Comprehensive R Archive Network (CRAN) Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [aut, ctb], Pierre Lafaye De Micheaux [aut, ctb] (Threshold functions from AnalyzeFMRI), Jonathan L Marchini [aut, ctb] (Threshold functions from AnalyzeFMRI) Mozilla Public License 2.0 2024-10-17 application/tgz https://CRAN.R-project.org/package=MixfMRI doi:10.32614/CRAN.package.MixfMRI