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) <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.
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 <wccsnow@gmail.com>
Packaged: 2024-10-17 01:22:42 UTC; snoweye
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)
Repository: CRAN
Date/Publication: 2024-10-17 04:30:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-06-08 02:29:05 UTC; windows
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