imco: Inter-modal Coupling Model

In neuroconductor-devel/mimosa: 'MIMoSA': A Method for Inter-Modal Segmentation Analysis

Description

Implements full volumetric IMCo coupling estimation on a single subject

Usage

imco(files, brainMask, subMask = NULL, type = "pca", ref = 1,
  fwhm = 3, thresh = 0.005, radius = NULL, reverse = FALSE,
  verbose = TRUE, retimg = FALSE, outDir = NULL, propMiss = NULL)

Arguments

files	Vector of full paths to images or a list of local nifti objects
brainMask	Full path to brain mask or local nifti object
subMask	NULL or local nifti object or the full path to a mask that is a subset of brain mask where coupling should be computed
type	"regression" or "pca"
ref	reference modality when type="pca" or dependent modality when type="regression"
fwhm	Full width in voxels for FWHM
thresh	Threshold for trimming Gaussian kernel weights
radius	radius of neighborhood in number of voxels. Can be specified instead of fwhm. Default is NULL and overrides fwhm when specified as non-NULL.
reverse	If TRUE, calculates both regressions if type="regression" and length(files)==2, otherwise ignored
verbose	TRUE for updates on computation, else FALSE
retimg	If TRUE, return list of estimated coupling maps as nifti objects
outDir	Full path to directory where maps should be written
propMiss	Maximum proportion of missing voxels in a neighborhood to tolerate, i.e., return NA if missing more than propMiss in the neighborhood of the center voxel

Value

Estimated IMCo coupling maps, either written to files and/or returned as nifti objects

neuroconductor-devel/mimosa documentation built on Sept. 21, 2019, 6:24 p.m.