Two-step clinic model wrapper for Sobol designs — sobol4r_clinic

Simulate a simple clinic with separate registration and examination stages using simmer. The quantity of interest is the mean time in system over nrep replications for each parameter set.

Usage

sobol4r_clinic_model(
  X,
  cap_reg = 2,
  cap_exam = 3,
  horizon = 2000,
  warmup_prob = 0.2,
  nrep = 10L
)

Arguments

X: Design matrix or data.frame with columns lambda (arrival rate), mu_reg (registration service rate), and mu_exam (examination service rate).
cap_reg, cap_exam: Integer capacities for the registration and examination resources.
horizon: Simulation horizon.
warmup_prob: Fraction of the horizon treated as warmup and discarded before computing the mean time in system.
nrep: Number of replications used to average the mean time in system.

Value

Numeric vector of length nrow(X).