MixfMRI is an R package clustering fMRI data using parallel model-based clustering. The package mplements methods in Chen and Maitra (2023), doi:10.1002/hbm.26425 (pdf). The developed methods 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.
For installing MixfMRI: * See "./INSTALL" for details.
For simulation studies (with MPI and pbdMPI): * See "./inst/workflow/simulation/create_simu.txt" for simulations that support the methods developed and evaluated in Chen and Maitra (2023), doi:10.1002/hbm.26425.
For testing run time (with MPI and pbdMPI): * See "./inst/workflow/timing/" for testing a main function.
For large scale workflows and examples (with MPI and pbdMPI): "./inst/workflow/spmd/_common/" for workflow main scripts. "./inst/workflow/spmd/2d_V/" for running a 2D_V exmaple. "./inst/workflow/spmd/2d_I/" for running a 2D_I exmaple. "./inst/workflow/spmd/2d_noX/" for running a 2D_noX exmaple. "./inst/workflow/spmd/3d_V/" for running a 3D_V exmaple. "./inst/workflow/spmd/3d_I/" for running a 3D_I exmaple. "./inst/workflow/spmd/3d_noX/" for running a 3D_noX exmaple.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.