Package ciftiTools details
Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.
Maintainer: Amanda Mejia < mandy.mejia at gmail.com >
From within R, enter
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
# Default Install
# from GitHub
neuro_install('ciftiTools', release = "stable", release_repo = "github")
neuro_install('ciftiTools', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
|Initially submitted on||October 1 2021 2:07PM|
|Last updated on||October 1 2021 2:07PM|
|Source GitHub||https://github.com/mandymejia/ciftiTools GitHub|
|Neuroconductor GitHub||https://github.com/neuroconductor/ciftiTools GitHub|
|Imports||fields, gifti(>0.7.5), grDevices, oro.nifti, RNifti, RColorBrewer, rgl, viridisLite, xml2|
|Suggests||covr, ggplot2, ggpubr, htmlwidgets, knitr, rmarkdown, papayar, testthat (2.1.0)|