This is a thin wrapper around BFR.BE::BFR.BE.EM.CV() (or similar entry points).
Because the upstream API may evolve, we keep this wrapper flexible:
If you pass
...withXandM(the membership matrix), they are forwarded.If you pass
Y_list, we will stack it and constructXandMaccordingly.
Usage
fit_momss(
Y_list,
k,
X = NULL,
scaling = FALSE,
center_within_study = TRUE,
folds = 10,
...
)Arguments
- Y_list
Optional list of study matrices. If provided, we create a stacked matrix.
- k
Positive integer number of shared factors.
- X
Optional covariate matrix or list of covariate matrices aligned to
Y_list.- scaling
Logical; whether to scale the data.
- center_within_study
Logical; whether to center each study's data before fitting. Recommended unless you have strong reasons not to.
- folds
Number of folds for cross-validation within MOM-SS.
- ...
Parameters that can be pass directly to
BFR.BE::BFR.BE.EM.CV().