Simulate Binomial VCMoE data — simulate_vcmoe

Generates Binomial VCMoE simulations for Bernoulli and grouped-count examples and tests.

Usage

simulate_vcmoe_binomial(n = 300L, k = 2L, seed = NULL,
  separation = 1, u = NULL, scenario = "well_separated", trials = 1L)

Arguments

n: Number of observations.
k: Number of components. Values 2 through 10 are supported.
seed: Optional random seed.
separation: Controls expert separation.
u: Optional numeric vector of index values.
scenario: Simulation scenario: "well_separated", "moderate", "near_overlap", "crossing", or "imbalanced_gating".
trials: Binomial trial counts. Use 1 for Bernoulli data, or a positive integer scalar/vector for grouped Binomial data.

Value

A list with data and truth. Expert truth is on the logit scale. The truth entry includes component coefficients, gating logits, component probabilities, component-specific success probabilities, sampled class labels, and success/failure counts.