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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.
Getting started
Browse package contents
Package details |
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| 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) |
| Maintainer | Wei-Chen Chen <wccsnow@gmail.com> |
| License | Mozilla Public License 2.0 |
| Version | 0.1-3 |
| URL | https://github.com/snoweye/MixfMRI |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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