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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-4 |
rolling linux/jammy R-4.5 | MixfMRI_0.1-4.tar.gz |
1.3 MiB |
0.1-4 |
rolling linux/noble R-4.5 | MixfMRI_0.1-4.tar.gz |
1.3 MiB |
0.1-4 |
rolling source/ R- | MixfMRI_0.1-4.tar.gz |
1.2 MiB |
0.1-4 |
latest linux/jammy R-4.5 | MixfMRI_0.1-4.tar.gz |
1.3 MiB |
0.1-4 |
latest linux/noble R-4.5 | MixfMRI_0.1-4.tar.gz |
1.3 MiB |
0.1-4 |
latest source/ R- | MixfMRI_0.1-4.tar.gz |
1.2 MiB |
0.1-4 |
2026-04-26 source/ R- | MixfMRI_0.1-4.tar.gz |
1.2 MiB |
0.1-4 |
2026-04-23 source/ R- | MixfMRI_0.1-4.tar.gz |
1.2 MiB |
0.1-4 |
2026-04-09 windows/windows R-4.5 | MixfMRI_0.1-4.zip |
1.4 MiB |
0.1-4 |
2025-04-20 source/ R- | MixfMRI_0.1-4.tar.gz |
1.2 MiB |