Simulate a fully synthetic baseline antibody measurement — mbmm_simulate_demo

The public demonstration uses a bounded two-component Gaussian mixture on the natural-log scale. This produces a broad, right-skewed antibody distribution on the natural scale without using empirical COVID5001 measurements.

Usage

mbmm_simulate_demo_antibody(
  n,
  high_fraction = 0.25,
  low_mean = 1.25,
  high_mean = 2.35,
  low_sd = 0.55,
  high_sd = 0.4,
  clip = c(0, 3.3),
  calibration_mean = NULL,
  calibration_sd = NULL,
  seed = NULL
)

Arguments

n: Number of subjects.
high_fraction: Probability of belonging to the higher-response component.
low_mean, high_mean: Component means on the natural-log scale.
low_sd, high_sd: Component standard deviations on the natural-log scale.
clip: Lower and upper bounds applied on the natural-log scale.
calibration_mean: Optional fixed mean used to standardize the biomarker.
calibration_sd: Optional fixed standard deviation used to standardize it.
seed: Optional random seed.

Value

A data frame containing natural-scale, log-scale, and standardized antibody values.