tiltedCCA: Tilted-CCA Factorization
In linnykos/multiomicCCA: Tilted CCA

tiltedCCA

R Documentation

Tilted-CCA Factorization

Computing the common-distinct decomposition via CCA, by setting each latent dimension to the same common tilt.

tiltedCCA(
  input_obj,
  discretization_gridsize = 21,
  enforce_boundary = F,
  fix_tilt_perc = F,
  verbose = 0
)

`input_obj`	`multiSVD` class, after creation via `compute_snns()`
`discretization_gridsize`	positive integer for how many values between 0 and 1 (inclusive) to search the appropriate amount of tilt over
`enforce_boundary`	boolean, on whether or not the tilt is required to stay between the two canonical score vectors
`fix_tilt_perc`	boolean or a numeric. If `FALSE`, then the tilt is adaptively determined, and if `TRUE`, then the tilt is set to be equal to `0.5`. If numeric, the value should be between `0` and `1`, which the tilt will be set to.
`verbose`	non-negative integer For the tilt values (possibly set in `fix_tilt_perc`), values close to 0 or 1 means the common space resembles the canonical scores of `mat_2` or `mat_1` respectively.