Simulate Negative-Binomial VCMoE count data — simulate_vcmoe

Generates Negative-Binomial VCMoE simulations for gene-expression count examples and tests.

Usage

simulate_vcmoe_negbin(n = 300L, k = 2L, seed = NULL,
  separation = 1, u = NULL, scenario = "well_separated",
  size_factor = NULL, mean_count = 5)

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".
size_factor: Optional positive size factors. If NULL, log-normal size factors are generated.
mean_count: Baseline count scale.

Value

A list with data and truth. Expert truth is on the log mean count scale. The data include size_factor and log_size_factor for use with offset(log_size_factor).