Quantify uncertainty in effect-braid geometry — braid_pattern

Draws from a multivariate normal approximation to the estimated cross-omic effects and reports how often each practical geometric pattern occurs. These frequencies propagate estimation uncertainty; they are not Bayesian posterior probabilities and they do not replace the confirmatory inferential braid label.

Usage

braid_pattern_probabilities(
  effects,
  covariance = NULL,
  omic_order,
  margin = 0.3,
  n_draws = 2000L,
  trajectory_margin = 0.15,
  seed = 1L,
  min_slope = NULL
)

Arguments

effects: Effect table.
covariance: Optional bootstrap covariance object/list. If absent, omics are treated as independent.
omic_order: Ordered omics.
margin: Equivalence/negligible-effect margin; scalar or named by omic.
n_draws: Number of Monte Carlo draws per entity.
trajectory_margin: Practical trajectory threshold per layer transition.
seed: Random seed.
min_slope: Deprecated alias for `trajectory_margin`.

Value

Long data frame of geometric pattern frequencies per entity.