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 = "wccsnow@gmail.com"), person("Ranjan", "Maitra", role = "aut", email = "maitra@iastate.edu"), person("Dan", "Nettleton", role = c("aut", "ctb")), person("Pierre", "Lafaye De Micheaux", role = c("aut", "ctb"), comment = "Threshold functions from AnalyzeFMRI"), person("Jonathan L", "Marchini", role = c("aut", "ctb"), comment = "Threshold functions from AnalyzeFMRI")) Depends: R (>= 4.0.0) Imports: MASS, Matrix, RColorBrewer, fftw, MixSim, EMCluster Enhances: pbdMPI (>= 0.3-4), oro.nifti LazyLoad: yes LazyData: yes Description: Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2023) ) 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. 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: 2026-06-03 07:43:29 UTC; root Author: 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)