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MixfMRI
View on CRAN: Click
here
Download and install MixfMRI package within the R console
Install from CRAN:
install.packages("MixfMRI")
Install from Github:
library("remotes")
install_github("cran/MixfMRI")
Install by package version:
library("remotes")
install_version("MixfMRI", "0.1-3")
Attach the package and use:
library("MixfMRI")
Maintained by
Wei-Chen Chen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-26
Latest Update: 2023-09-04
Description:
Utilizing model-based clustering (unsupervised)
for functional magnetic resonance imaging (fMRI) data.
The developed methods (Chen and Maitra (2023) )
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.
How to cite:
Wei-Chen Chen (2018). MixfMRI: Mixture fMRI Clustering Analysis. R package version 0.1-3, https://cran.r-project.org/web/packages/MixfMRI
Previous versions and publish date:
Other packages that cited MixfMRI R package
View MixfMRI citation profile
Other R packages that MixfMRI depends,
imports, suggests or enhances
Functions, R codes and Examples using
the MixfMRI R package
Some associated functions: 00_MixfMRI-package . 11_d_control . 22_d_data . a1_fclust . b1_initial . b2_algorithm . c1_test . d1_plot . d2_print . e1_simulation . e2_density . e3_smooth . f1_lmt_I_pv . f2_logit_ETA . f3_post_I . f4_logor_stat . u1_summarized.overlap . u2_qvalue . u3_fdr_ss . u4_cba_cor . zz_internal .
Some associated R codes: Full MixfMRI package functions and examples
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