Run `multifer` inference for a fitted [aligned_rrr()] model. The adapter uses multifer's opaque predictive geometry so the model can keep its native multiblock predictor/response data shape.
Usage
infer_aligned_rrr(
x,
data = NULL,
targets = "default",
B = 1000L,
R = 500L,
alpha = 0.05,
seed = NULL,
strict = TRUE,
...
)Arguments
- x
A fitted `aligned_rrr` object.
- data
Optional original data list with elements `X` and `Y`. When `NULL`, the data stored in `x$fit_spec$refit$data` are used.
- targets
Inference targets passed to [multifer::infer()]. Defaults to all targets declared by the adapter: component significance plus loading, score, and subspace stability.
- B
Number of Monte Carlo draws per component-significance rung.
- R
Number of bootstrap replicates for stability targets.
- alpha
Significance level passed to [multifer::infer()].
- seed
Optional random seed.
- strict
Logical; passed to [multifer::infer()].
- ...
Additional arguments passed to [multifer::infer()].