The universal output of MvaMethod$fit(). Every analysis method must
produce this shape, mapping its native output to these fields.
Usage
new_mva_decomposition(
feature_weights,
design_weights = NULL,
importance,
scores_feature = NULL,
scores_design = NULL,
extra = list(),
method = NULL
)Arguments
- feature_weights
P x K matrix of feature loadings (brain weights)
- design_weights
D x K matrix of design/behavior loadings, or NULL
- importance
Length-K vector (singular values, eigenvalues, etc.)
- scores_feature
N x K matrix of feature-space scores (brain scores)
- scores_design
N x K matrix of design-space scores, or NULL
- extra
Named list of method-specific extras
- method
Character string identifying the method