Description Slots Author(s) See Also
Object containing a fitted statistical model for image data.
iData
iData reference class object for fitted model.
Y
Pointer to image matrix stored as h5 dataset.
X
Information about the design:
X Design matrix.
K Filter information specific to each image.
W weights
KWX Weighted design matrix information.
pKX Pseudoinverse of X.
V Non-sphericity matrix.
betaCov Covariance of correlation coefficients.
trRV Trace of RV.
trRVRV Trace of RVRV.
rdf Residual degrees of freedom.
beta
Pointer to beta matrix stored as h5 dataset.
res
Pointer to residual matrix stored as h5 dataset.
mrss
Pointer to mean residual sum of squares matrix stored as h5 dataset.
xVi
Information about intrinsic temporal non-sphericity:
Vi List of non-sphericity components.
V Non-sphericity matrix (Cov(e) = sigma^2*V)
h Hyperparameters.
Cy Covariance of response matrix.
dims
Model dimensions:
npred Number of predictors.
nimg Number of images.
nvox Number of voxels.
fwhm full-width at half-maxima
resels Resolution elements.
rpvImage Resels per voxel image.
C
list of contrasts:
name Name of the contrast.
c Contrast weights.
X1 Reamaining design space (orthogonal to X0)
X0 Reduced design matrix.
iX0 Indicates how contrat was specified.
dims Dimensions for contrast
trRV Trace of RV.
trRVRV Trace of RVRV.
idf Degrees of interest.
fieldType Type of statyistical field being fitted.
contrastImage Object of class antsImage representing contrast.
clusterImage Object of class antsImage representing the thresholded contrastImage.
results Either a list or data.frame containing the results of a given contrast.
sthresh Statistical threshold.
cthresh Cluster threshold.
control
Control values for fitting the model (see iControl
).
Zachary P. Christensen
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