Region-Level Connectivity Network Construction via Kernel
Canonical Correlation Analysis
c(person("Xubo", "Yue", email = "maxyxb@umich.edu", role = "aut"),person("Jian", "Kang", email = "jiankang@umich.edu", role = "cre"))
It is designed to calculate connection between (among) brain regions and plot connection lines. Also, the summary function is included to summarize group-level connectivity network. Kang, Jian (2016) <doi:10.1016/j.neuroimage.2016.06.042>.
CCA, kernlab, parallel, elasticnet, rgl, brainR, misc3d,
oro.nifti, utils, knitr

Helper functions to misc3d and rgl packages for brain imaging
This includes functions for creating 3D and 4D images using WebGL, RGL, and JavaScript Commands.  This package relies on the X ToolKit (XTK, https://github.com/xtk/X#readme).
'makeScene.R' 'write4D.file.R' 'write4D.R'
'writeWebGL_split.R' 'brainR-package.R' 'scene4d.R'
MNI152_T1_2mm_brain.nii.gz from Copyright (C) 1993-2009
Louis Collins, McConnell Brain Imaging Centre, Montreal
Neurological Institute, McGill University 6th generation
non-linear symmetric brain

'makeScene.R' 'write4D.file.R' 'write4D.R'
'writeWebGL_split.R' 'brainR-package.R' 'scene4d.R'
'writeTrianglesSTL.R'

Helper Functions to 'misc3d' and 'rgl' Packages for Brain
Imaging
c(person(given = "John",
family = "Muschelli",
email = "muschellij2@gmail.com",
role = c("aut", "cre")))
This includes functions for creating 3D and 4D images using
'WebGL', 'rgl', and 'JavaScript' commands.
This package relies on the X toolkit ('XTK',
<https://github.com/xtk/X#readme>).

Basic wavelet analysis of multivariate time series with a visualisation
and parametrisation using graph theory.
This package computes the correlation matrix for each scale of a
wavelet decomposition, namely the one performed by the R package waveslim
(Whitcher, 2000). An hypothesis test is applied to each entry of one matrix
in order to construct  an adjacency matrix of a graph. The graph obtained is
finally analysed using the small-world theory (Watts and Strogatz, 1998) and
using the computation of efficiency (Latora, 2001), tested using simulated
attacks. The brainwaver project is complementary to the camba project for
brain-data preprocessing.