Run `multifer` inference for a fitted BaDA model using subject-level class-barycenter blocks as the multiblock data representation.
Usage
infer_bada(
x,
data,
targets = "default",
B = 1000L,
R = 500L,
alpha = 0.05,
seed = NULL,
strict = TRUE,
...
)Arguments
- x
A fitted `bada` object.
- data
The original `multidesign` data used to fit `x`.
- targets
Inference targets passed to [multifer::infer()].
- 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()].