imco_reg: Regression Inter-modal Coupling Model

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

Description

Implements full volumetric IMCo coupling estimation on a single subject using regression approach

Usage

imco_reg(
  files,
  nhoods,
  nWts,
  mask_indices,
  ref = 1,
  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
nhoods	Neighborhood matrices computed in imco
nWts	Vector of kernel weights
mask_indices	Voxels where IMCo is computed
ref	Which modality is dependent variable
reverse	Should regression be done/returned both Y on X and X on Y? Ignored if # modalities > 2
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/mimosa documentation built on June 5, 2020, 12:39 a.m.