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VertexWiseR: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface

Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep' and 'HCP' preprocessed datasets and 'HippUnfold' hippocampal segmentation outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.

Version: 1.2.0
Depends: R (≥ 4.0.0)
Imports: ciftiTools, doParallel, doSNOW, foreach, freesurferformats, fs, gifti, grDevices, igraph, methods, plotly, png, rappdirs, reticulate, stats, stringr, utils
Suggests: R.rsp
Published: 2024-12-12
DOI: 10.32614/CRAN.package.VertexWiseR
Author: Junhong Yu ORCID iD [aut], Charly Billaud ORCID iD [aut, cre]
Maintainer: Charly Billaud <charly.billaud at ntu.edu.sg>
License: GPL-3
URL: https://cogbrainhealthlab.github.io/VertexWiseR/
NeedsCompilation: no
SystemRequirements: Miniconda3 (v24.9.2), Python (<= v3.12), BrainStat (v0.4.2), vtk (v9.3.1)
Citation: VertexWiseR citation info
Materials: README NEWS
CRAN checks: VertexWiseR results

Documentation:

Reference manual: VertexWiseR.pdf
Vignettes: Example analyses with VertexWiseR - Example 1 (source)
Example analyses with VertexWiseR - Example 2 (source)
Extracting surface data in VertexWiseR (source)

Downloads:

Package source: VertexWiseR_1.2.0.tar.gz
Windows binaries: r-devel: VertexWiseR_1.2.0.zip, r-release: VertexWiseR_1.1.0.zip, r-oldrel: VertexWiseR_1.2.0.zip
macOS binaries: r-release (arm64): VertexWiseR_1.2.0.tgz, r-oldrel (arm64): VertexWiseR_1.2.0.tgz, r-release (x86_64): VertexWiseR_1.2.0.tgz, r-oldrel (x86_64): VertexWiseR_1.2.0.tgz
Old sources: VertexWiseR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=VertexWiseR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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