Package: MixfMRI
Version: 0.1-2
Date: 2021-11-06
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 = "ctb"))
Depends: R (>= 4.0.0)
Imports: MASS, Matrix, RColorBrewer, fftw, MixSim, EMCluster
Enhances: pbdMPI (>= 0.3-4), AnalyzeFMRI, 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 (2021) <arXiv:2102.03639>)
        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: 2021-11-07 01:02:51 UTC; snoweye
Author: Wei-Chen Chen [aut, cre],
  Ranjan Maitra [aut],
  Dan Nettleton [ctb]
Repository: CRAN
Date/Publication: 2021-11-07 17:20:07 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2022-03-22 10:00:36 UTC; unix
Archs: MixfMRI.so.dSYM
