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VertexWiseR  

Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
View on CRAN: Click here


Download and install VertexWiseR package within the R console
Install from CRAN:
install.packages("VertexWiseR")

Install from Github:
library("remotes")
install_github("cran/VertexWiseR")

Install by package version:
library("remotes")
install_version("VertexWiseR", "1.4.5")



Attach the package and use:
library("VertexWiseR")
Maintained by
Charly Billaud
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-13
Latest Update: 2025-07-30
Description:
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' 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.
How to cite:
Charly Billaud (2024). VertexWiseR: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface. R package version 1.4.5, https://cran.r-project.org/web/packages/VertexWiseR. Accessed 04 Jul. 2026.
Previous versions and publish date:
1.0.0 (2024-06-13 20:00), 1.0.1 (2024-09-06 10:00), 1.1.0 (2024-10-10 04:20), 1.2.0 (2024-12-12 08:30), 1.2.1 (2025-03-10 04:20), 1.3.0 (2025-03-18 13:00), 1.3.1 (2025-04-14 12:30), 1.3.2 (2025-06-11 08:30), 1.4.0 (2025-07-30 05:50), 1.4.1 (2025-08-19 06:30), 1.4.2 (2025-10-01 09:20), 1.4.3 (2025-10-21 13:00), 1.4.4 (2025-12-04 02:10), 1.4.5 (2025-12-15 06:20), 1.5.0 (2026-03-12 13:40), 1.5.1 (2026-04-08 11:50)
Other packages that cited VertexWiseR R package
View VertexWiseR citation profile
Other R packages that VertexWiseR depends, imports, suggests or enhances
Complete documentation for VertexWiseR
Functions, R codes and Examples using the VertexWiseR R package
Full VertexWiseR package functions and examples
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